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