Showing an NBA Dataset through interactive visualizations.

A comparative study of various models for prediction of Win/Loss of a basketball game based on the team’s as well as players’ past statistics. Also focused on the web scraping techniques to scrap raw datasets from the nba/stats website and feature engineering on the collected datasets to best suit the classification problem.

Data Science Foundations I | Exploratory Data Analysis in Python | Summarizing Relationship Between Two Features

Mini projects completed from udemy utilising Python & R Programming

Implementation of KNN, Centroid, Linear Regression and SVM classifiers using Sklearn.

This repository contains the projects that I made in the Python programming language.