A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)
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Updated
Jul 26, 2024 - Jupyter Notebook
A machine learning model to accurately predict house prices based on various features such as quality, size, and location, utilizing Random Forest and XGBoost algorithms (Python)
This research aims to find out which system can better evaluate hitter performance based on measurements of batted ball metrics and make predictions for the upcoming season.
Stock Returns Prediction
Flight Price Predictor is a service that helps you forecast the price of a flight ticket .The goal of this project, first apply the machine learning models then predict to flight price.
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