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 -
pipdoes 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.