scikit-learn

├── Practice
│   ├── Importance of Feature Scaling
│   ├── Multi-metric Evaluation
│   ├── Permutation Feature Importance
│   └── RocCurve and DETCurve
│
├── Supervised Learning
│   ├── Ordinary Least Squares
│   ├── Ridge Regression and Classification
│   ├── Lasso
│   ├── Multi-task Lasso
│   ├── Elastic Net
│   ├── Baysian Regression
│   ├── Logistic Regression
│   └── Generalized Linear Regression
│
├── Unsupervised Learning
│
└── README.md

Supervised Learning

Ordinary Least Squares : OLS

Ridge Regression and Classification : Ridge

Lasso : Lasso

Multi Task Lass : Multi Task Lass

Elastic Net : Elastic Net

Bayesian Regression : Bayesian

Logistic Regression : Logistic

Generalized Linear Regression : GLM

Unsupervised Learning

Gauusian Mixture Models : GMM