A compilation of illustrative examples for some classical machine learning techniques and algorithms. Perfect for beginners and practitioners looking to refresh their knowledge. 📊🤖
- Regression Algorithms:
- Linear Regression
- Polynomial Regression
- Lasso Regression
- Ridge Regression
- Support Vector Regression (SVR)
- Decision Trees and Random Forest
- K-Nearest Neighbors (KNN) and Logistic Regression
- Naive Bayes
- Support Vector Classification (SVC)
- K-means Clustering
- Principal Component Analysis (PCA)
- Item-Based Collaborative Filtering
- K-fold Cross Validation
- Transforming categorical data into a binary matrix representation for machine learning algorithms.