Machine Learning Online Course | Deep Learning Online Training
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Machine Learning and Deep Learning - Online

Remember how you learned to ride a bicycle? Now learn how to teach that process to a machine. Also, get a high paying job.


Deep Learning
Computer Vision
Natural Language




Online

4-year access. Live chat support with TA.



Best Coding Institute | Coding Elements Logo




4

Year Access!

Study at your own pace. Pause for exams. Revise for interviews.



10

Finished Projects with Code

Plus Homework Projects for College and Resume



Yes

Verified Certificate

As soon as your homework is accepted.


26,000

Original29,000

Scholarship Form

Scholarship available



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • Yes

    Verified Certificate

    As soon as your homework is accepted.



  • 4

    Year Access!

    Study at your own pace. Pause for exams. Revise for interviews.



  • Yes

    Verified Certificate

    As soon as your homework is accepted.

  • 1
  • 2
  • 3

26,000

Original29,000

Scholarship Form

Scholarship available


How to Enroll

Fill out this scholarship form.

Checking if seats are left



We will call you to discuss scholarship amount.
Because of high number of enquiries the waiting time may be upto 24 hours.





Machine Learning and Deep Learning - Online - Recent Placements

Best off-campus placements and career services


Coding Elements programming institute off-campus placement at Airbus
Deep Machine Learning course student Abhishek Patel
Coding Elements coding institute off-campus placement at Airbus

Deep Machine Learning

Congratulations Abhishek Patel for receiving offers from Airbus and other companies.

Coding Elements programming institute off-campus placement at AI Fund (by Andrew Ng)
Deep Machine Learning course student Shivam Yadav
Coding Elements coding institute off-campus placement at AI Fund (by Andrew Ng)

Deep Machine Learning

Congratulations Shivam Yadav for receiving offers from AI Fund (by Andrew Ng) and other companies.

Coding Elements programming institute off-campus placement at Delhivery
Deep Machine Learning course student Raghav Gupta
Coding Elements coding institute off-campus placement at Delhivery

Deep Machine Learning

Congratulations Raghav Gupta for receiving offers from Delhivery and other companies.



Machine Learning and Deep Learning - Online Course - Curriculum

We will assess the student and adjust the curriculum for optimal learning.



  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies
  • laptop_chromebook

    Python Foundation for ML

    • Python revision
    • Numpy, Pandas
    • Data visualization & Plots
    • Linux terminal and pip
    • Virtual Environment
    • Web API, Scraping, Automation
  • laptop_chromebook

    Supervised Learning

    • Scikit-learn, OpenCV
    • Linear regression & Gradient Descent
    • Logistic regression
    • K Nearest Neighbours
    • Decision Tree & Random Forest
    • SVM (Support Vector Machines)
  • laptop_chromebook

    Unsupervised Learning

    • Clustering algorithms
    • K-Means & Mean Shift
  • laptop_chromebook

    Deep Learning

    • Neural Networks
    • Back Propagation
    • Keras, Tensorflow, Pytorch
    • Transfer Learning
    • Data Augmentation
  • laptop_chromebook

    Deep Computer Vision

    • CNN (Convolutional Neural Net)
    • VGG, GoogLe, ResNet, DenseNet
    • Autoencoders, Noise Removal
    • Object Detection, Localization, Segmentation
    • GAN (Generative Adversarial Net)
    • YOLO (You only look once)
  • laptop_chromebook

    Reinforcement Learning

    • OpenAI, Gym, Retro
    • Deep Q-Learning
    • Experience Replay
    • Computer aided game automation
  • laptop_chromebook

    Natural Language Processing

    • Deep NLP
    • RNN (Recurrent Neural Net)
    • LSTM and GRU
    • Sentiment Analysis (Yelp, IMDb)
    • Text Generation (WhatsApp Language Model)
    • Language Translation (French to English)
  • laptop_chromebook

    Web and API

    • Flask
    • Web APIs
    • Web scraping
    • Web automation
    • Web sockets
    • Git Essentials
    • Cloud server deployment
  • laptop_chromebook

    Projects

    • Neural Style Transfer(Prisma)
    • Super Human Game Play
    • Self Driving Car Simulator
    • Language Translator
    • Facial Recognition
    • Song detection (Shazam, SoundHound)
    • Creating Virtual Reality Avatars
  • laptop_chromebook

    Interview Preparation

    • Practice on Kaggle
    • Job Interview Questions
    • Preparation Strategies



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Machine Learning and Deep Learning - Online - Course Overview


  • add

    Industry level content

    Industry level content in Machine Learning (ML) and Deep Learning that will ready you for a career in the field
  • add

    Online and self-paced

    Online and self-paced course that you can take from the comfort of your home according to your free time.
  • add

    Core concepts

    Core concepts like Python Programming language for ML, Neural Networks , Computer Vision, NLP
  • add

    Verified Certificate

    You will receive a Verified Certificate that you will be able to showcase on your resume during interviews.
  • add

    Many practice questions

    Many practice questions are included in the course that help with your interview preparation.
  • add

    Mentorship

    Mentorship through WhatsApp / Email / Live Chat Support
  • add

    Career Services

    Career Services Available
  • add

    Projects

    10+ Projects with code

What students will learn in Machine Learning and Deep Learning - Online Course?


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    Python Foundation for ML

    Python is a very important language in the field of the Machine Language. In this course, you will revise Python and learn Numpy, Pandas, etc.
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    Supervised Learning

    Supervised Learning uses algorithms and regression techniques to develop predictive models. As part of this topic, you will cover Scikit –learn, OpenCV and other concepts.
  • add

    Unsupervised Learning

    Unsupervised Learning is used to preprocess data and is used on the data before using it in a supervised learning algorithm. You will learn Clustering Algorithms, K- Means and Mean Shift
  • add

    Deep Learning

    You will cover important topics like Neural Networks, Keras, Tensorflow, etc.
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    Deep Computer Vision

    This is a very niche topic which deals with how computers can be programmed to understand digital images and videos. In other words, it tries to find ways to automate the tasks done by the human visual system.

    As part of this topic, you will learn CNN, VGG, GoogLe, etc.
  • add

    Reinforcement Learning

    Reinforcement Learning works on training algorithms using a system of reward. It is one of the three basic machine learning paradigms.
  • add

    Natural Language Processing

    This branch of AI deals with the interaction between computers and human beings using a natural language.

    You will cover Deep NLP, RNN, etc.
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    Projects

    You will work on projects that will not just help you learn Machine Learning and Deep Learning but will also develop essential skills like Problem Solving, Logical Thinking, Abstract Thinking and Perseverance.
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    Interview Preparation

    Interviews are an essential part of the process of landing a job. By taking this course, you will get access to many interview questions and practice on Kaggle

What are the future prospects after taking Machine Learning and Deep Learning - Online Course?


If you are interested in the field of Machine Learning, there are plenty of career opportunities you can consider.

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    Machine Learning Engineer

    They are developers who are skilled in subjects like Computer Science and Programming, Statistics, Math, Data Science and Deep Learning, Algorithm Design and Implementation.
  • add

    Research Scientist

    There is a lot of scope for research the field of ML. A research scientist would be involved in subjects like Deep Learning, NLP, Supervised Learning, etc.
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    Data Scientist

    They need to have core skills like Statistical Analysis, Machine Learning Techniques, Data Warehouse Techniques, etc. and work with programming languages like R and Python.
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    Other Opportunities

    Other opportunities include Business Intelligence Developer, Data Analyst, Data Engineer, etc.

How Coding Elements is different:


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    High Quality Course Content with Industry Focus

    Our courses are built by industry experts and are created to help you get a deep understanding of the concepts. We provide a blend of theoretical concepts along with real world projects and exercises that help you become industry-ready.
  • add

    Mentor Support (Live) is Available to Students

    You can ask your doubts to our Teaching Assistants via chat, Whatsapp or email. There are dedicated people to help you with the course
  • add

    Career Services ARe Provided to Students

    We provide guidance and support to help you decide the best career path for you.
  • add

    Highly rated institute Among Students

    Our institute has very high ratings and good reviews by previous students. The institute has trained many students and readied them for the field of Machine Learning and Deep Learning.





Student Reviews - Machine Learning and Deep Learning - Online


Which is the best institute for coding in Delhi?


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Pushkar Mittal, Computer Science student

Machine Learning

Well, When it comes to coding, and such stuff like machine learning, the key is individual attention, and experienced faculty. because Students lag behind in large batches which makes it difficult to cope with the course piled up. I suggest Coding Elements for this. It is accessible, Faculty is experienced, have small batches and most importantly are dedicated to teach.


What are some good offline classes to learn programming in Delhi?


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Bhumika Batra, Student at International Management School

Classroom Course

If you are looking for offline classes, then check out CODING ELEMENTS. Most other institutes have very large class sizes but Elements keeps the class size small, up to 10 students. This was very important for me because I was learning coding for the first time. I don’t think I could ask questions in a class of 50 students. Coding Elements have the best trainers for programming. They all have worked in top companies in USA or India. And they are really helpful. The counselors provide career guidance and help with placements (although I was not looking for a new job). You should consider Coding Elements before making your decision :)


Which is the best site to learn python online with certification?


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Yash Mehra, Online Student

Python Online for Data and Web

The python online course provided by coding elements is the best among all. They’ve well designed and curated course that helps in better understanding. And more importantly, their courses cover Data Structure, Data Science and Web Designing too!


Which is the best training institute of Python in Delhi NCR?


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Anmol Khurana, Student at Delhi Public School

Python for Data Science

I have to commute a lot to attend classes at Coding Elements. I don't mind. Because every single class has been worth the tiresome journey. I think, you are one of the best teachers I've had. Probably the best. I hold you in quite high an Esteem. I think you are really good at teaching the things you teach, but you are also good at listening to the doubts and getting to the core of issues, and understanding what is really bothersome, and also at being patient, as the process of 'learning' has its fits and starts and patience is ultimately the way to go, no matter what other virtues you may have. Also, the non-judgmental approach you take towards us, that's quite a relief in itself. It's a lot of pressure off the back of any student who is trying to master a new skill. I am hyperactive and it is really hard for me to keep my interest in one place for months on end. But, in this case, I think Im hooked to programming for a long long time, thanks to you, for the way you helped structure and create my paradigm towards programming and the field of computing in general. And all the conversations we have had apart from 'Python', they were very meaningful in itself. And you shared freely, everything that you could, about computing and other topics, and I think, this too, will help me cast my career in a different light. In recent days, you have become a friend, a teacher and a mentor. And writing this was my way of saying 'Thank You'.






Frequently Asked Questions - Machine Learning and Deep Learning - Online



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    What are the prerequisites to Machine Learning and Deep Learning - Online?

    You need to be comfortable with any programming language.

    School-level programming experience is not sufficient to join this course.

    You may skip this course if you know most of the concepts listed in the curriculum.
  • add

    How will my doubts get resolved?

    We have dedicated Teaching Assistants who will help you during this course.

    Every Teaching Assistant is assigned 5-8 students.

    You can approach them via WhatsApp and Email.

    You can also schedule Live Doubt Solving Sessions.
  • add

    How many hours of content does this course have?

    This course has 80+ hours of content.
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    Can I download the recordings of this course?

    No. We do not allow downloading of the course videos.

    On the other hand, you will have access to the course for 4 Years.

    We have allocated a generous Watch Time Quota (Total no. of hours you can watch the content), enough to watch the entire content three to four times over.

    Online TA chat support will be available for 1 year, but you will still retain access to Hints, Doubt forum, Practice questions, Test cases, and Videos.
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    How long will it take to complete Machine Learning and Deep Learning - Online?

    You will be able to complete it in 3 months.
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    How many students are there in a batch?

    Every Teaching Assistant is assigned 5 - 8 students.

    The TAs work closely with the students, helping them understand the content, and carving out the right learning path for them.
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    Are there any Projects and Assignments in Machine Learning and Deep Learning - Online?

    We have 10+ Projects in this course.
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    For how long do I have access to the course?

    You will have access to the course for 4 Years.

    Also, a reasonable limit has been applied to your Total Watch Time.

    Total Watch Time is the total number of hours for which you can watch the content.

    We have allocated a generous Watch Time Quota (Total no. of hours you can watch the content), enough to watch the entire content three to four times over.

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    Does Machine Learning and Deep Learning - Online offer a certificate?

    Yes.

    If you complete all the Projects and 70% of the Assignment Questions, you will be awarded a certificate.
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    What career prospects can I look forward to after completing this course?

    You can look forward to becoming a Machine Learning Engineer, Research Scientist, Data Engineer, and tons of other exiciting fields of study.
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    Is there a Free Trial available before enrollment?

    Yes. A Free Trial is available.

    You can apply for a Free Trial here.
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    Will there by any Placement Assistance at the end of this course?

    Yes. We do provide Placement Assistance at the end of this course.

    You can contact our Placement Managers for any help.

    We are also keen on building a longterm relationship with our students.

    We will provide help with choosing the appropriate profiles and positions that the tech industry has to offer.





Online

4-year access. Live chat support with TA.


LIVE
Augmented Classroom Courses



Lifetime access to Practice | Four Year Video Access | Live Doubt Sessions Daily



Lifetime access to Practice | Live Teaching Sessions | Live Doubt Sessions Daily






Coding is for everyone. This course will be an investment in your future.