This repository contains my solution to the Housing Prices Advanced Regression Techniques Kaggle Competition.

The source code can be found in the following:

• Housing Prices Advanced Regression Techniques.ipynb: contains the a notebook with detailed explanations, as well as source code; the recommended file to read, since code-only can be harder to grasp
• main.py: the main file, containing all the code that was used to generate and solve the problem
• transformers.py: file containing the transformers (and imputers) used in the data processing pipelines

In order to properly run the code provided, one needs the following:

• Python 3.8.2 - the version it was developed into; any backwards compatible version will work, as well as some previous versions
• Scikit-Learn 0.0 - pip does not want to show the proper version for this package, but any version will work as long as you check for any differences from the code presented
• Numpy 1.18.2
• Pandas 1.0.3
• Matplotlib 3.2.1

Note: The notebook was made in Kaggle's engine, thus I cannot state any proper version to use. For the Kaggle notebook, please click here.

• Filip-Ioan Dutescu - @filipdutescu

This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details.