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π My personal 180-day machine learning challenge repository! Follow my journey as I complete daily exercises, mini-projects, and learning resources related to ML. π¨βπ» This repository is open for everyone to see and use as inspiration for their own ML challenge. Fork this repository and join the challenge today! π Let's learn and grow together
This Flask app predicts house prices using a RandomForestRegressor model trained on a housing dataset. It includes data pre-processing with pipelines and imputers, stratified train-test splitting, and a user input form. Predictions are displayed on the web page, making it ideal for learning basic machine learning deployment with Flask.