A repository containing machine learning projects and models.

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

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

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

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

Linear Algebra project from TripleTen

A simple linear regression model and CSV parser.

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.

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.