Bootcamp – introduction to machine learning

Model Evaluation and Selection (Objective functions, Training/validation/test splits), Feature Engineering, Overfitting and Regularization, Regression Models (Linear Regression, Logistic Regression), K-Nearest Neighbors Algorithm, Data Exploration and Visualization (Histograms, Density function visualization, Box plots)