ML-Supervised-Learning

This repo contains my supervised learning course with some real world examples:

Linear Regression

This example shows how to perform linear regression with scikit-learn and visualize the results using matplotlib. It includes data preprocessing, model training, and evaluation. It also includes the use of K-fold cross-validation to evaluate the model.

Regression algorithms:

• Ridge Regression
• Lasso Regression
• Random Forest Regression
• Decision Tree Regression
• K-Nearest Neighbors Regression

Classification

This example shows how to perform classification with scikit-learn and visualize the results using matplotlib. It includes data preprocessing, model training, and evaluation. It also includes the use of K-fold cross-validation to evaluate the model.

Classification algorithms:

• Logistic Regression
• K-Nearest Neighbors
• Decision Tree
• Random Forest