Sports Analytics in Python

Sports Analytics in R (Step-wise Regression and Subset Selection Regression)

Regression Analysis of Used Car Prices

The goal of these examples is to analyse the given datasets to determine whether some models can be established for purposes of prediction, to assess how stepwise prediction behaves with respect to a personally chosen model and determine an unknown trend in the cereal dataset.

Identifying the most influential food groups on COVID-19 recovery rate: exploratory data analysis and statistical modeling

This repository contains two applied GLM in R: Car Price Prediction — Gamma regression with log link to model car prices and quantify the impact of technical and brand features. Heart Disease Classification — Logistic regression to identify key risk factors and estimate the probability of heart disease.

Using R to perform a statistical and multiple regression analysis on a music dataset