🤖 Machine Learning Labs

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📝 Table of Contents

• 📙 Overview
• 🧱 File Structure
• ✨ Contributors
• 🔒 License

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📙 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

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🗃️ File Structure

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

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👑 Contributors

Eslam Ashraf

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🔒 License

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