Lab exercises for the course Machine Learning for Master of Data Science for Public Policy (MDS) at Hertie School.

Tutorial 1: Setting up the Conda Environment and Matrix Operations using Numpy.

Tutorial 2: Learning Pandas Dataframes and Linear Regression. also using Matplotlib for plotting.

Data: CommunitiesandCrime: Download this dataset where your ML Lab notebooks are saved for Tutorial 2.

Tutorial 3: Ridge Regression and Lasso Regression using Scikit-Learn on the Communities and crime Dataset from Tutorial 2.

Tutorial 4 and Tutorial 5 : Using Heart Disease Dataset for EDA, ridge regression, lasso regression and logistic regression.

Tutorial 6: Using ISLP to get Hitters Data. Then performing Ridge Regression, Kernel Regression using Gaussian and Polynomial Kernels. Download the dataset Hitters.csv

Tutorial 9: Using Dropout https://archive.ics.uci.edu/dataset/697/predict+students+dropout+and+academic+success Data.