{"id":15030307,"url":"https://github.com/greyhatguy007/machine-learning-specialization-coursera","last_synced_at":"2025-05-14T04:07:31.555Z","repository":{"id":41398714,"uuid":"504209946","full_name":"greyhatguy007/Machine-Learning-Specialization-Coursera","owner":"greyhatguy007","description":" Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Specialization Coursera\n\n\n![](/resources/title-head.png)\n\nContains Solutions and Notes for the [Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction/?utm_medium=coursera\u0026utm_source=home-page\u0026utm_campaign=mlslaunch2022IN) by Andrew NG on Coursera \n\n**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)**\n\n\u003chr/\u003e\n\n## Course 1 : [Supervised Machine Learning: Regression and Classification ](https://www.coursera.org/learn/machine-learning?specialization=machine-learning-introduction)\n\n- [Week 1](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1)\n\n    - [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)\n    - [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)\n    - [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)\n  - [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week1/Optional%20Labs)\n    - [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)\n    - [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)\n    - [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)\n\n\u003cbr/\u003e\n\n- [Week 2](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2) \n\n    - [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)\n    - [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)\n    - [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/Optional%20Labs)\n      - [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)\n      - [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)\n      - [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)\n      - [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)\n      - [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)\n      - [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)\n    - [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week2/C1W2A1)\n      - [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)\n\n\u003cbr/\u003e\n\n- [Week 3](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3)\n\n    - [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)\n    - [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)\n    - [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/Optional%20Labs)\n        - [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)\n        - [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)\n        - [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)\n        - [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)\n        - [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)\n        - [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)\n        - [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)\n        - [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)\n        - [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)\n    - [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C1%20-%20Supervised%20Machine%20Learning%20-%20Regression%20and%20Classification/week3/C1W3A1)\n      - [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)\n\n#### [Certificate Of Completion](https://coursera.org/share/195768f3c1a83e42298d3f61dae99d01)\n\n\u003cbr/\u003e\n\n## Course 2 : [Advanced Learning Algorithms](https://www.coursera.org/learn/advanced-learning-algorithms?specialization=machine-learning-introduction)\n\n- [Week 1](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1)\n    - [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)\n    - [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)\n    - [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)\n    - [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)\n    - [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/optional-labs)\n      - [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)\n      - [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)\n      - [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)\n    - [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week1/C2W1A1)\n      - [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)\n  \n\n  \u003cbr/\u003e\n\n- [Week 2](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2)\n    - [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)\n    - [Practice quiz : Activation Functions](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/Practice-Quiz-Activation-Functions)\n    - [Practice quiz : Multiclass Classification](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/Practice-quiz-Multiclass-Classification)\n    - [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)\n    - [Optional Labs](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/optional-labs)\n        - [RElu](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/optional-labs/C2_W2_Relu.ipynb)\n        - [Softmax](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/blob/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/optional-labs/C2_W2_SoftMax.ipynb)\n        - [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)\n    - [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week2/C2W2A1)\n      - [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)\n    \n\n\u003cbr/\u003e\n\n- [Week 3](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week3)\n    - [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)    \n    - [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)\n    - [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)\n    - [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week3/C2W3A1)\n        - [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)\n\n\u003cbr/\u003e\n\n\n- [Week 4](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week4)\n    - [Practice quiz : Decision Trees](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week4/practice-quiz-decision-trees)\n    - [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)\n    - [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)\n    - [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C2%20-%20Advanced%20Learning%20Algorithms/week4/C2W4A1)\n        - [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)\n\n#### [Certificate of Completion](https://coursera.org/share/c9a7766b0c6eab27db2e955376d29bf7)        \n\n\u003cbr/\u003e\n\n## Course 3 : [Unsupervised Learning, Recommenders, Reinforcement Learning](https://www.coursera.org/learn/unsupervised-learning-recommenders-reinforcement-learning?specialization=machine-learning-introduction)\n\n\u003cbr/\u003e\n\n- [Week 1](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week1)\n    - [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)\n    - [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)\n    - [Programming Assignments](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week1/C3W1A)\n        - [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)\n        - [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)\n\n\u003cbr/\u003e\n\n- [Week 2](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2)\n    - [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)\n    - [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)\n    - [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)\n    - [Programming Assignments](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week2/C3W2)\n        - [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)\n        - [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)\n\n\u003cbr/\u003e\n\n- [Week 3](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week3)\n    - [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)\n    - [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)\n    - [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)\n    - [Programming Assignment](https://github.com/greyhatguy007/Machine-Learning-Specialization-Coursera/tree/main/C3%20-%20Unsupervised%20Learning%2C%20Recommenders%2C%20Reinforcement%20Learning/week3/C3W3A1)\n        - [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)\n#### [Certificate of Completion](https://coursera.org/share/5bf5ee456b0c806df9b8622067b47ca6)\n\n\n### [Specialization Certificate](https://coursera.org/share/a15ac6426f90924491a542850700a759)\n\n\u003cbr/\u003e\n\n\u003cbr/\u003e\n\n\u003chr/\u003e\n\n\u003cdiv align=\"center\"\u003e\n\n                        \n### Stargazers over time\n[![Stargazers over time](https://starchart.cc/greyhatguy007/Machine-Learning-Specialization-Coursera.svg?variant=adaptive)](https://starchart.cc/greyhatguy007/Machine-Learning-Specialization-Coursera)                 \n\n[![Hits](https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Fgreyhatguy007%2FMachine-Learning-Specialization-Coursera\u0026count_bg=%2379C83D\u0026title_bg=%23555555\u0026icon=\u0026icon_color=%23E7E7E7\u0026title=hits\u0026edge_flat=false)](https://hits.seeyoufarm.com)\n\n\u003c/div\u003e\n\n### Course Review :\n\nThis 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.\n\n**Special thanks to [Professor Andrew Ng](https://www.andrewng.org/) for structuring and tailoring this Course.**\n\n\u003cbr/\u003e\n\n\u003chr/\u003e\n\n#### An insight of what you might be able to accomplish at the end of this specialization :\n\n* \u003ci\u003eWrite an unsupervised learning algorithm to **Land the Lunar Lander** Using Deep Q-Learning\u003c/i\u003e\n\n    - 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.\n    - The final landing after training the agent using appropriate parameters : \n\nhttps://user-images.githubusercontent.com/77543865/182395635-703ae199-ba79-4940-86eb-23dd90093ab3.mp4\n\n* \u003ci\u003eWrite an algorithm for a **Movie Recommender System**\u003c/i\u003e\n    \n    - A movie database is collected based on its genre.\n    - A content based filtering and collaborative filtering algorithm is trained and the movie recommender system is implemented.\n    - It gives movie recommendentations based on the movie genre.\n\n![movie_recommendation](https://user-images.githubusercontent.com/77543865/182398093-c7387754-34a9-4044-b842-0085060c3525.png)\n\n* \u003ci\u003e And Much More !! \u003c/i\u003e\n\n\nConcluding, 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*. \n\n\u003cbr/\u003e\n\n**Happy Learning :))**\n\n\n \n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgreyhatguy007%2Fmachine-learning-specialization-coursera","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgreyhatguy007%2Fmachine-learning-specialization-coursera","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgreyhatguy007%2Fmachine-learning-specialization-coursera/lists"}