- Linear Regression
- Ridge, Lasso and Elastic Net
- Decision Tree Regressor
- Random Forest Regressor
- Support vector regressor
- Logistic Regression
- Naive Bayes
- K-nearest neighbors
- Support vector machines
- Decision Tree
- Random forest
This repo contains Comprehensive notes covering various machine learning concepts, algorithms, and applications, providing a structured resource for both beginners and experienced practitioners to deepen their understanding and proficiency in the field.
Jupyter NotebookMIT