https://github.com/rakeshbal99/machine-learning-coursera

Machine Learning Coursera
https://github.com/rakeshbal99/machine-learning-coursera

andrew-ng-course artificial-intelligence coursera-machine-learning deep-learning machine-learning

Last synced: 16 days ago
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Machine Learning Coursera

• Host: GitHub
• URL: https://github.com/rakeshbal99/machine-learning-coursera
• Owner: rakeshbal99
• License: mit
• Created: 2017-06-25T12:21:54.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2020-07-23T19:57:50.000Z (about 5 years ago)
• Last Synced: 2025-01-11T19:53:44.039Z (9 months ago)
• Topics: andrew-ng-course, artificial-intelligence, coursera-machine-learning, deep-learning, machine-learning
• Language: Jupyter Notebook
• Size: 21.6 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Machine-Learning-Coursera

**Master Machine/Deep Learning, and Break into AI**

Instructor: [Andrew Ng](http://www.andrewng.org/)

## Introduction

This repository contains the solutions to all the Machine Learning and Deep Learning courses I have taken in Coursera.

## Programming Assignments

- Course 1: Neural Networks and Deep Learning

  - [Week 2 - PA 0 - Python Basics With Numpy(optional)](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Python%20Basics%20With%20Numpy.ipynb)

  - [Week 2 - PA 1 - Logistic Regression with a Neural Network mindset](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Logistic%20Regression%20with%20a%20Neural%20Network%20mindset.ipynb)

  - [Week 3 - PA 2 - Planar data classification with one hidden layer](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Planar%20data%20classification%20with%20one%20hidden%20layer.ipynb)

  - [Week 4 - PA 3 - Building your Deep Neural Network: Step by Step](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Building%20your%20Deep%20Neural%20Network-Step%20by%20Step.ipynb)

  - [Week 4 - PA 4 - Deep Neural Network for Image Classification: Application](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Deep%20Neural%20Network-Application.ipynb)

- Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

  - [Week 1 - PA 1 - Initialization](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Initialization.ipynb)

  - [Week 1 - PA 2 - Regularization](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Regularization.ipynb)

  - [Week 1 - PA 3 - Gradient Checking](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Gradient%20Checking.ipynb)

  - [Week 2 - PA 4 - Optimization Methods](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Optimization%20methods.ipynb)

  - [Week 3 - PA 5 - TensorFlow Tutorial](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Tensorflow%20Tutorial.ipynb)

- Course 4: Convolutional Neural Networks

  - [Week 1 - PA 1 - Convolution model - Step by Step](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Convolutional%20Neural%20Networks/Convolution%20model%20-%20Step%20by%20Step.ipynb)

  - [Week 1 - PA 2 - Convolution model - Application](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Convolutional%20Neural%20Networks/Convolution%20model%20-%20Application.ipynb)

  - [Week 2 - PA 3 - Keras - Tutorial - Happy House](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Convolutional%20Neural%20Networks/Keras%20-%20Tutorial%20-%20Happy%20House.ipynb)

  - [Week 2 - PA 4 - Residual Networks](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Convolutional%20Neural%20Networks/Residual%20Networks.ipynb)

  - [Week 3 - PA 5 - Autonomous driving application Car detection](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Convolutional%20Neural%20Networks/Autonomous%20driving%20application%20Car%20detection.ipynb)

  - [Week 4 - PA 6 - Face Recognition for the Happy House](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Convolutional%20Neural%20Networks/Face%20Recognition%20for%20the%20Happy%20House.ipynb)

  - [Week 4 - PA 7 - Art Generation with Neural Style Transfer](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Convolutional%20Neural%20Networks/Art%20Generation%20with%20Neural%20Style%20Transfer.ipynb)

- Course 5: Sequence Models

    - [Week 1 - PA 1 - Building your Recurrent Neural Network - Step by Step](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Sequence%20Models/Building%20a%20Recurrent%20Neural%20Network%20Step%20by%20Step.ipynb)

    - [Week 1 - PA 2 - Character level language model - Dinosaurus land](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Sequence%20Models/Dinosaurus%2BIsland%2B--%2BCharacter%2Blevel%2Blanguage%2Bmodel%2Bfinal%2B-%2Bv3.ipynb)

    - [Week 1 - PA 3 - Improvise a Jazz Solo with an LSTM Network](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Sequence%20Models/Improvise%2Ba%2BJazz%2BSolo%2Bwith%2Ban%2BLSTM%2BNetwork%2B-%2Bv3.ipynb)

    - [Week 2 - PA 4 - Operations on word vectors](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Sequence%20Models/Operations%2Bon%2Bword%2Bvectors%2B-%2Bv2.ipynb)

    - [Week 2 - PA 5 - Emojify!](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Sequence%20Models/Emojify%2B-%2Bv2.ipynb)

    - [Week 3 - PA 6 - Neural Machine Translation](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Sequence%20Models/Neural%2Bmachine%2Btranslation%2Bwith%2Battention%2B-%2Bv4.ipynb)

    - [Week 3 - PA 7 - Trigger Word Detection](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Sequence%20Models/Trigger%2Bword%2Bdetection%2B-%2Bv1.ipynb)

## Quiz Solutions

- Course 1: Neural Networks and Deep Learning

  - [Week 1 Quiz - Introduction to deep learning](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Week%201%20Quiz%20-%20Introduction%20to%20deep%20learning.md)

  - [Week 2 Quiz - Neural Network Basics](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Week%202%20Quiz%20-%20Neural%20Network%20Basics.md)

  - [Week 3 Quiz - Shallow Neural Networks](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Week%203%20Quiz%20-%20Shallow%20Neural%20Networks.md)

  - [Week 4 Quiz - Key concepts on Deep Neural Networks](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Neural%20Networks%20And%20Deep%20Learning/Week%204%20Quiz%20-%20Key%20concepts%20on%20Deep%20Neural%20Networks.md)

- Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

  - [Week 1 Quiz - Practical aspects of deep learning](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Week%201%20Quiz%20-%20Practical%20aspects%20of%20deep%20learning.md)

  - [Week 2 Quiz - Optimization algorithms](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Week%202%20Quiz%20-%20Optimization%20algorithms.md)

  - [Week 3 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks](https://github.com/rakeshbal99/Machine-Learning-Coursera/blob/master/Deep%20Learning%20Specialisation/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization/Week%203%20Quiz%20-%20Hyperparameter%20tuning%2C%20Batch%20Normalization%2C%20Programming%20Frameworks.md)