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scikit-learn

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scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.

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House Price Prediction is a machine learning project that analyzes real estate data to predict house prices based on various features like location, size, and amenities. It involves data preprocessing, exploratory data analysis (EDA), feature engineering, and model training using regression algorithms to provide accurate price estimates. 🚀📊🏡

  • Updated Mar 6, 2025
  • PHP

This repo hosts a web app that predicts stock trends using machine learning and tweet sentiment analysis. It combines historical data with real-time tweet sentiment for accurate insights. Features include trend forecasting and visualizations using Python, WordPress Flask, JS, HTML/CSS, Twitter API, Keras, Tensorflow, and scikit-learn

  • Updated Jul 15, 2024
  • PHP

Created by David Cournapeau

Released January 05, 2010

Latest release 5 months ago

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25.6k followers
Repository
scikit-learn/scikit-learn
Website
github.com/topics/scikit-learn
Wikipedia
Wikipedia

Related topics

python scikit