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Analyzing housing data with Python: Explore features, visualize trends, and model prices using simple and multiple linear regression. Gain insights into real estate dynamics through data-driven techniques. ๐Ÿก๐Ÿ“Š #DataAnalysis #MachineLearning

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Housing Analysis

Overview

Welcome to the Housing Analysis repository! This project involves the exploration and analysis of housing data using Python. The script includes features for descriptive statistics, data visualization, and linear regression models.

Jupyter Notebook

For an interactive and detailed exploration of the code, check out the Housing Analysis Jupyter Notebook.

Key Features

  • Descriptive statistics for numerical features
  • Visualization of numerical and categorical features
  • Simple Linear Regression model based on area
  • Multiple Linear Regression model incorporating area, bedrooms, bathrooms, stories, and parking

How to Use

  1. Open the Jupyter Notebook.
  2. Explore the code cells for each step of the analysis.
  3. Execute cells to see the results and visualizations.
  4. Modify or extend the code for your specific needs.

License

This project is licensed under the MIT License.

Feel free to fork, modify, and use the code according to the terms of the license.

Author

  • Mahlodi Makobe

Happy coding!

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Analyzing housing data with Python: Explore features, visualize trends, and model prices using simple and multiple linear regression. Gain insights into real estate dynamics through data-driven techniques. ๐Ÿก๐Ÿ“Š #DataAnalysis #MachineLearning

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