# Machine Learning

- [Linear Model Cheating Sheet](/machine-learning/linear-model-cheating-sheet.md)
- [Nonlinear Model Cheating Sheet](/machine-learning/nonlinear-model-cheating-sheet.md)
- [General Linear Model 1](/machine-learning/general-linear-model-1.md): Here are the notes for general linear regression.
- [General Linear Model 2](/machine-learning/general-linear-model-2.md)
- [General Linear Model 3](/machine-learning/general-linear-model-3.md)
- [Tree Based Methods](/machine-learning/tree-based-methods.md)
- [Tree Based Methods Supplement](/machine-learning/tree-based-methods-supplement.md)
- [XG,Cat,Light\_\_Boosting](/machine-learning/xg-cat-light__boosting.md)
- [KNN\&PCA](/machine-learning/knn-and-pca.md)
- [Model Performance](/machine-learning/model-performance.md)
- [Model Evaluation](/machine-learning/model-evaluation.md)
- [Code Practice](/machine-learning/code-practice.md)
- [KNN](/machine-learning/code-practice/knn.md): KNN
- [Decision Tree Python Code](/machine-learning/code-practice/decision-tree-python-code.md)
- [Data and Feature Engineering](/machine-learning/data-and-feature-engineering.md)
- [Handle Bias Data](/machine-learning/data-and-feature-engineering/handle-bias-data.md)
- [Cold Start Problem](/machine-learning/data-and-feature-engineering/cold-start-problem.md): in recommendation system