Supervised Learning:Regression (linear, logistic, etc.), classification (SVM, decision trees, random forests, etc.), and model evaluation metrics. Unsupervised Learning:Clustering (k-means, hierarchical), dimensionality reduction (PCA, t-SNE). Deep Learning:Neural networks, convolutional neural networks...