filipdutescu/kaggle-house-prices-art

House Prices Advanced Regression Techniques Kaggle Competition Solution

Housing Prices Advanced Regression Techniques

Kaggle Competition

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

Technical Requirements

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.

Author

• Filip-Ioan Dutescu - @filipdutescu

License

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