/House-Price-Prediction-ML-Project

Linear regression and random forest regressor model, which predict price of house with given parameters

Primary LanguageJupyter Notebook

🏠 House-Price-Prediction-ML-Project 🏠

📝 About the Project

This is a simple machine learning project that was created to enhance understanding of Python’s ML tools and the prediction process. I used Linear Regression and Random Forest Regressor models and achieved 82% accuracy in my predictions.

🔗 The dataset I used can be found here: Kaggle Dataset

📊 Data Preparation and Visualization

Here are some visualizations from our data exploration and preparation process:

  1. Data Preparation 1

  2. Data Plotting 2

  3. Heatmap 3

  4. Advanced Heatmap 4

  5. Latitude and Longitude Correlation 5

📈 Model Results

Here are the results from our Linear Regression and Random Forest Regressor models:

  1. Linear Regression Result 6

  2. Random Forest Regressor Result 7

💻 Technologies Used

This project was created with:

  • Python 🐍
  • NumPy
  • Pandas 🐼
  • MatPlotLib 📊
  • SeaBorn 🌊
  • SciKit-Learn 🛠️