There are 1 repository under nba-dataset topic.
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.
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.