This project focuses on predicting the price of used cars using various features from a given dataset. The primary goal is to build a regression model that can accurately estimate a vehicle's market value, helping to address the information asymmetry often found in the used car market.
View on GitHubAn XGBoost regression model designed to predict podcast listening time (in minutes) based on episode metadata. This repository contains my late submission for the Kaggle Playground Series - Season 5, Episode 4.
View on GitHubAn end-to-end machine learning pipeline to identify customers at risk of churning. This project analyzes historical customer data, performs feature engineering, and trains predictive models to optimize customer retention strategies.
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