Regression Techniques (Linear & polynomial)

Classification Techniques (Logistic Regression & K-NN)

Two in one (Decision Tree, Random Forest, and XGBoost)

Two in one (SVM & Naive Bayes)

Unsupervised Techniques

Machine learning projects