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https://github.com/greyhatguy007/machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
https://github.com/greyhatguy007/machine-learning-specialization-coursera

andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization decision-trees deep-learning linear-regression logistic-regression machine-learning mooc neural-network python recommendation-system solutions supervised-machine-learning tensorflow unsupervised-learning unsupervised-machine-learning

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Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Host: GitHub
URL: https://github.com/greyhatguy007/machine-learning-specialization-coursera
Owner: greyhatguy007
License: mit
Created: 2022-06-16T15:31:02.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2024-09-29T06:01:04.000Z (4 months ago)
Last Synced: 2025-01-28T16:38:47.856Z (9 days ago)
Topics: andrew-ng, andrew-ng-machine-learning, coursera, coursera-assignment, coursera-specialization, decision-trees, deep-learning, linear-regression, logistic-regression, machine-learning, mooc, neural-network, python, recommendation-system, solutions, supervised-machine-learning, tensorflow, unsupervised-learning, unsupervised-machine-learning
Language: Jupyter Notebook
Homepage:
Size: 38.1 MB
Stars: 4,506
Watchers: 36
Forks: 2,703
Open Issues: 15
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

# Machine Learning Specialization Coursera

![](/resources/title-head.png)

Contains Solutions and Notes for the [Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction/?utm_medium=coursera&utm_source=home-page&utm_campaign=mlslaunch2022IN) by Andrew NG on Coursera

**Note : If you would like to have a deeper understanding of the concepts by understanding all the math required, have a look at [Mathematics for Machine Learning and Data Science](https://github.com/greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera)**

## Course 1 : [Supervised Machine Learning: Regression and Classification ](https://www.coursera.org/learn/machine-learning?specialization=machine-learning-introduction)

- [Week 1](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1)

- [Practice quiz: Regression](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1/Practice%20quiz%20-%20Regression)
- [Practice quiz: Supervised vs unsupervised learning](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1/Practice%20quiz%20-%20Supervised%20vs%20unsupervised%20learning)
- [Practice quiz: Train the model with gradient descent](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1/Practice%20quiz%20-%20Train%20the%20model%20with%20gradient%20descent)
- [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1/Optional%20Labs)
- [Model Representation](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1/Optional%20Labs/C1_W1_Lab03_Model_Representation_Soln.ipynb)
- [Cost Function](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1/Optional%20Labs/C1_W1_Lab04_Cost_function_Soln.ipynb)
- [Gradient Descent](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1/Optional%20Labs/C1_W1_Lab05_Gradient_Descent_Soln.ipynb)

- [Week 2](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2)

- [Practice quiz: Gradient descent in practice](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Practice%20quiz%20-%20Gradient%20descent%20in%20practice)
- [Practice quiz: Multiple linear regression](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Practice%20quiz%20-%20Multiple%20linear%20regression)
- [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs)
- [Numpy Vectorization](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs/C1_W2_Lab01_Python_Numpy_Vectorization_Soln.ipynb)
- [Multi Variate Regression](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs/C1_W2_Lab02_Multiple_Variable_Soln.ipynb)
- [Feature Scaling](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs/C1_W2_Lab03_Feature_Scaling_and_Learning_Rate_Soln.ipynb)
- [Feature Engineering](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs/C1_W2_Lab04_FeatEng_PolyReg_Soln.ipynb)
- [Sklearn Gradient Descent](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs/C1_W2_Lab05_Sklearn_GD_Soln.ipynb)
- [Sklearn Normal Method](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs/C1_W2_Lab05_Sklearn_GD_Soln.ipynb)
- [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/C1W2A1)
- [Linear Regression](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/C1W2A1/C1_W2_Linear_Regression.ipynb)

- [Week 3](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3)

- [Practice quiz: Cost function for logistic regression](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Practice%20quiz%20-%20Cost%20function%20for%20logistic%20regression)
- [Practice quiz: Gradient descent for logistic regression](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Practice%20quiz%20-%20Gradient%20descent%20for%20logistic%20regression)
- [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs)
- [Classification](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab01_Classification_Soln.ipynb)
- [Sigmoid Function](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab02_Sigmoid_function_Soln.ipynb)
- [Decision Boundary](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab03_Decision_Boundary_Soln.ipynb)
- [Logistic Loss](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab04_LogisticLoss_Soln.ipynb)
- [Cost Function](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab05_Cost_Function_Soln.ipynb)
- [Gradient Descent](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab06_Gradient_Descent_Soln.ipynb)
- [Scikit Learn - Logistic Regression](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab07_Scikit_Learn_Soln.ipynb)
- [Overfitting](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab08_Overfitting_Soln.ipynb)
- [Regularization](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs/C1_W3_Lab09_Regularization_Soln.ipynb)
- [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/C1W3A1)
- [Logistic Regression](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/C1W3A1/C1_W3_Logistic_Regression.ipynb)

#### [Certificate Of Completion](https://coursera.org/share/195768f3c1a83e42298d3f61dae99d01)

## Course 2 : [Advanced Learning Algorithms](https://www.coursera.org/learn/advanced-learning-algorithms?specialization=machine-learning-introduction)

- [Week 1](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1)
- [Practice quiz: Neural networks intuition](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/Practice%20quiz%20-%20Neural%20networks%20intuition)
- [Practice quiz: Neural network model](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/Practice%20quiz%20-%20Neural%20network%20model)
- [Practice quiz: TensorFlow implementation](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/Practice%20quiz%20-%20TensorFlow%20implementation)
- [Practice quiz : Neural Networks Implementation in Numpy](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/Practice-Quiz-Neural-Networks-Implementation-in-python)
- [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/optional-labs)
- [Neurons and Layers](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/optional-labs/C2_W1_Lab01_Neurons_and_Layers.ipynb)
- [Coffee Roasting](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/optional-labs/C2_W1_Lab02_CoffeeRoasting_TF.ipynb)
- [Coffee Roasting Using Numpy](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/optional-labs/C2_W1_Lab02_CoffeeRoasting_TF.ipynb)
- [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/C2W1A1)
- [Neural Networks for Binary Classification](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/C2W1A1/C2_W1_Assignment.ipynb)

- [Week 2](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2)
- [Practice quiz : Neural Networks Training](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/Practice-Quiz-Neural-Network-Training)
- [Practice quiz : Activation Functions](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/Practice-Quiz-Activation-Functions)
- [Practice quiz : Multiclass Classification](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/Practice-quiz-Multiclass-Classification)
- [Practice quiz : Additional Neural Networks Concepts](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/Practice-Quiz-Additional-Neural-Network-Concepts)
- [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/optional-labs)
- [RElu](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/optional-labs/C2_W2_Relu.ipynb)
- [Softmax](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/optional-labs/C2_W2_SoftMax.ipynb)
- [Multiclass Classification](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/optional-labs/C2_W2_Multiclass_TF.ipynb)
- [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/C2W2A1)
- [Neural Networks For Handwritten Digit Recognition - Multiclass](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/C2W2A1/C2_W2_Assignment.ipynb)

- [Week 3](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week3)
- [Practice quiz : Advice for Applying Machine Learning](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week3/Practice-Quiz-Advice-for-applying-machine-learning)
- [Practice quiz : Bias and Variance](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week3/practice-quiz-bias-and-variance)
- [Practice quiz : Machine Learning Development Process](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week3/practice-quiz-machine-learning-development-process)
- [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week3/C2W3A1)
- [Advice for Applied Machine Learning](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week3/C2W3A1/C2_W3_Assignment.ipynb)

- [Week 4](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week4)
- [Practice quiz : Decision Trees](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week4/practice-quiz-decision-trees)
- [Practice quiz : Decision Trees Learning](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week4/practice-quiz-decision-tree-learning)
- [Practice quiz : Decision Trees Ensembles](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week4/practice-quiz-tree-ensembles)
- [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week4/C2W4A1)
- [Decision Trees](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week4/C2W4A1/C2_W4_Decision_Tree_with_Markdown.ipynb)

#### [Certificate of Completion](https://coursera.org/share/c9a7766b0c6eab27db2e955376d29bf7)

## Course 3 : [Unsupervised Learning, Recommenders, Reinforcement Learning](https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning?specialization=machine-learning-introduction)

- [Week 1](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week1)
- [Practice quiz : Clustering](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week1/Practice%20Quiz%20-%20Clustering)
- [Practice quiz : Anomaly Detection](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week1/Practice%20Quiz%20-%20Anomaly%20Detection)
- [Programming Assignments](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week1/C3W1A)
- [K means](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week1/C3W1A/C3W1A1/C3_W1_KMeans_Assignment.ipynb)
- [Anomaly Detection](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week1/C3W1A/C3W1A2/C3_W1_Anomaly_Detection.ipynb)

- [Week 2](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2)
- [Practice quiz : Collaborative Filtering](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2/Practice%20Quiz%20-%20Collaborative%20Filtering)
- [Practice quiz : Recommender systems implementation](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2/Practice%20Quiz%20-%20Recommender%20systems%20implementation)
- [Practice quiz : Content-based filtering](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2/Practice%20Quiz%20-%20Content-based%20filtering)
- [Programming Assignments](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2/C3W2)
- [Collaborative Filtering RecSys](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2/C3W2/C3W2A1/C3_W2_Collaborative_RecSys_Assignment.ipynb)
- [RecSys using Neural Networks](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2/C3W2/C3W2A2/C3_W2_RecSysNN_Assignment.ipynb)

- [Week 3](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week3)
- [Practice quiz : Reinforcement learning introduction](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week3/Practice%20Quiz%20-%20Reinforcement%20learning%20introduction)
- [Practice Quiz : State-action value function](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week3/Practice%20Quiz%20-%20State-action%20value%20function)
- [Practice Quiz : Continuous state spaces](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week3/Practice%20Quiz%20-%20Continuous%20state%20spaces)
- [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week3/C3W3A1)
- [Deep Q-Learning - Lunar Lander](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week3/C3W3A1/C3_W3_A1_Assignment.ipynb)
#### [Certificate of Completion](https://coursera.org/share/5bf5ee456b0c806df9b8622067b47ca6)

### [Specialization Certificate](https://coursera.org/share/a15ac6426f90924491a542850700a759)

### Stargazers over time
[![Stargazers over time](https://starchart.cc/greyhatguy007/Machine-Learning-Specialization-Coursera.svg?variant=adaptive)](https://starchart.cc/greyhatguy007/Machine-Learning-Specialization-Coursera)

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### Course Review :

This Course is a best place towards becoming a Machine Learning Engineer. Even if you're an expert, many algorithms are covered in depth such as decision trees which may help in further improvement of skills.

**Special thanks to [Professor Andrew Ng](https://www.andrewng.org/) for structuring and tailoring this Course.**

#### An insight of what you might be able to accomplish at the end of this specialization :

* Write an unsupervised learning algorithm to **Land the Lunar Lander** Using Deep Q-Learning

- The Rover was trained to land correctly on the surface, correctly between the flags as indicators after many unsuccessful attempts in learning how to do it.
- The final landing after training the agent using appropriate parameters :

https://user-images.githubusercontent.com/77543865/182395635-703ae199-ba79-4940-86eb-23dd90093ab3.mp4

* Write an algorithm for a **Movie Recommender System**

- A movie database is collected based on its genre.
- A content based filtering and collaborative filtering algorithm is trained and the movie recommender system is implemented.
- It gives movie recommendentations based on the movie genre.

![movie_recommendation](https://user-images.githubusercontent.com/77543865/182398093-c7387754-34a9-4044-b842-0085060c3525.png)

* And Much More !!

Concluding, this is a course which I would recommend everyone to take. Not just because you learn many new stuffs, but also the assignments are real life examples which are *exciting to complete*.

**Happy Learning :))**