Q1) Given the Housing dataset, compute and compare the param- eters learnt from various models - Linear Regression(closed form, Gradient Descent, Newton’s Method), Ridge Regression, Lasso Regression.

Q2) Given the Iris Dataset, perform Binary Classification, using the models - Nearest Neighbour, Naive-Bayes Classifier, Logistic Regres- sion(Gradient Descent, Newton’s method, using Library)

Q3) Given D51 Dataset, perform Explanatory Data Analysis (EDA) and then Binary Classification using the models - Nearest Neighbour, Naive- Bayes Classifier, Logistic Regression(Gradient Descent, Newton’s method, using Library)