Machine Learning

• Supervised, Unsupervised, and Reinforcement Learning
• Datasets, Features, and Labels
• Overfitting, Underfitting & the Bias–Variance Trade-Off
• Linear and Logistic Regression
• Decision Trees and Random Forests
• Master Naïve Bayes, KNN, and SVM

Projects

• Classifying Iris Flowers with Decision Trees
• Predicting Housing Prices
• Visualize Bias vs Variance