[Machine Learning Regression Project] Real estate valuation in Xindian district, New Taipei, Taiwan

Description

This is a project to predict real estate value in Xindian district, based on several features. The objectives of this project are to:

1. Understand the data available
2. Build a summary map of the data available based on Graphic Information Preprocessing
3. Test rapidly different regression models
4. Assess the best model(s) and improve them
5. Present the results and what could be further addressed.

Table of contents

• 1_Problem_description_and_EDA.ipynb [Jupyter notebook]
• 2_graphic_information_processing.ipynb [Jupyter notebook]
• 3_Spot_checking_algorithms.ipynb [Jupyter notebook]
• 4_Model_fine_tuning.ipynb [Jupyter notebook]
• Real estate valuation data set.xlsx [XLXS file]
• [Folder] maps: Summary maps
• [Folder] template: Spot_checking_regression [Python script]

Source of data

UCI Machine Learning Repository: Real estate valuation Dataset