A repository containing machine learning projects and models.

This project analyzes and preprocesses the Online Retail dataset to uncover insights into customer purchasing behaviors, sales trends, and product performance. It includes data cleaning, exploration, and visualization, with the goal of enhancing understanding of online retail dynamics.

Using a insurance data to build a linear regression model , assumption checks, ANOVA , Post-hoc test, Mini=project

Student Performance Predictor is an end-to-end machine learning project that implements a complete predictive modeling pipeline. It analyzes the impact of demographic, socioeconomic, and academic factors on student mathematics performance, performing data preprocessing, feature engineering, regression modeling (Linear, Ridge, Lasso, Random Forest,

Test various time-series Models to predict future movements in the value of the Japanese yen versus the U.S. dollar.

This project tackles the classic problem of house price prediction by implementing and comparing three powerful regression models. The objective is to build a reliable predictive tool for real estate valuation and to explore the benefits of regularization in machine learning.

This is a ML (Machine Learning) project for predicting energy consuming by pepole

A simple linear regression model and CSV parser.

Find interesting analytics with Google Play Store App data in here : https://nbviewer.org/github/GraceJHLee/App-Store-Analytics/blob/main/Google%20Play%20Store%20App%20Analytics.ipynb

In this project we’ll use condominium sales data from all 5 boroughs of New York City to determine how well the size of a condominium (measured in gross square feet) explains/predicts sale price for each individual borough & across New York City as a whole.

Linear Algebra project from TripleTen