- Preparation [lecture] [assignment]
- Please install required libraries using this manual
- Familiarize yourself with:
- Python [notebook] [cheat_sheet]
- Numpy [notebook] [cheat_sheet]
- Matplotlib [notebook] [cheat_sheet]
- Pandas [notebook] [cheat_sheet]
- Supervised Learning [lecture] [notebook] [scikit learn cheat_sheet]
- Linear Regression (Ridge, Lasso)
- Decision Trees (Random Forest, Gradient-boosted trees)
- Unsupervised Learning
- Clustering
- Hierarchical and Density-Based Clustering
- Gaussian Mixture Model and Cluster Validation
- PCA
- Feature Scaling
- Deep Learning
- Reinforcement Learning
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Introduction to Data Science with Python (Work in Progress)
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