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πŸ“’ My solutions to practice labs in Machine Learning Specialization by Andrew Ng. I hope it will be helpful.

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πŸ€– Machine Learning Labs


πŸ“ Table of Contents


πŸ“™ Overview

  • My solutions to practice labs in Machine Learning Specialization by Andrew Ng

  • The Content
    • Supervised Machine Learning Regression and Classification
      • Regularization to Avoid Overfitting
      • Gradient Descent
      • Supervised Learning
      • Linear Regression
      • Logistic Regression for Classification
    • Advanced Learning Algorithms
      • Artificial Neural Network
      • Xgboost
      • Tensorflow
      • Tree Ensembles
      • Advice for Model Development
    • Unsupervised Learning, Recommenders, Reinforcement Learning
      • Collaborative Filtering
      • Unsupervised Learning
      • Recommender Systems
      • Reinforcement Learning
      • Anomaly Detection

πŸ—ƒοΈ File Structure

Machine Learning Labs
β”œβ”€β”€ Supervised Machine Learning Regression and Classification
β”‚   β”œβ”€β”€ Wee2
β”‚   |   └── C1_W2_Linear_Regression.ipynb
β”‚   └── Week3
β”‚       └── C1_W3_Logistic_Regression.ipynb
β”œβ”€β”€ Advanced Learning Algorithms
β”‚   β”œβ”€β”€ Week1
β”‚   |   └── C2_W1_Assignment.ipynb
β”‚   β”œβ”€β”€ Week2
β”‚   |   └── C2_W2_Assignment.ipynb
β”‚   β”œβ”€β”€ Week3
β”‚   |   └── C2_W3_Assignment.ipynb
β”‚   └── Week4
β”‚       └── C2_W4_Decision_Tree_with_Markdown.ipynb
β”œβ”€β”€ Unsupervised Learning, Recommenders, Reinforcement Learning
β”‚   β”œβ”€β”€ Week1
β”‚   |   β”œβ”€β”€ C3_W1_Anomaly_Detection.ipynb
β”‚   |   └── C3_W1_KMeans_Assignment.ipynb
β”‚   β”œβ”€β”€ Week2
β”‚   |   β”œβ”€β”€ C3_W2_Collaborative_RecSys_Assignment.ipynb
β”‚   |   └── C3_W2_RecSysNN_Assignment.ipynb
β”‚   └── Week3
β”‚       └── C3_W3_A1_Assignment.ipynb
β”œβ”€β”€ LICENSE
└── README.md

πŸ‘‘ Contributors



Eslam Ashraf


πŸ”’ License

Note: This software is licensed under MIT License, See License for more information Β©EslamAsHhraf.