aninarafath6/180DaysMlChallenge

📈 My personal 180-day machine learning challenge repository! Follow my journey as I complete daily exercises, mini-projects, and learning resources related to ML. 👨‍💻 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! 🚀 Let's learn and grow together

Language: Jupyter Notebook - Size: 39.9 MB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

LatiefDataVisionary/scikit-learn-with-indonesia-belajar

Language: Jupyter Notebook - Size: 9.34 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Niroop2004/Real_estate_price_prediction.

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.

Language: Python - Size: 127 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0