Machine Learning Assignment 1: Is Pokemon Legendary?

This assignment covers data cleaning and preprocessing, training of classical machine learning algorithms, regression, classification, hyperparameter tuning, and feature visualization.

Tasks Overview

• Linear Regression: Pandas, linear regression(sklearn)
• Tuning of Polynomial Regression: Polynomial regression pipeline(degree 2), Gridsearch
• Feature Visualization: PairGrid plot
• Data Preprocessing: Pandas, SimpleImputer, OneHot encoder, StandardScaler
• Model Fitting and Comparison: Logistic Regression, GridSearchCV, KNN model, Gaussian Naive-Bayes