Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/filipdutescu/kaggle-house-prices-art
House Prices Advanced Regression Techniques Kaggle Competition Solution
https://github.com/filipdutescu/kaggle-house-prices-art
jupyter-notebook kaggle kaggle-competition kaggle-house-prices kaggle-solution notebook notebook-jupyter python python-3
Last synced: about 1 month ago
JSON representation
House Prices Advanced Regression Techniques Kaggle Competition Solution
- Host: GitHub
- URL: https://github.com/filipdutescu/kaggle-house-prices-art
- Owner: filipdutescu
- License: apache-2.0
- Created: 2020-04-06T20:26:18.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-04-19T08:41:16.000Z (almost 5 years ago)
- Last Synced: 2025-01-04T01:49:43.245Z (about 1 month ago)
- Topics: jupyter-notebook, kaggle, kaggle-competition, kaggle-house-prices, kaggle-solution, notebook, notebook-jupyter, python, python-3
- Language: Jupyter Notebook
- Size: 663 KB
- Stars: 1
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
# Housing Prices Advanced Regression Techniques
## Kaggle CompetitionThis repository contains [my solution](https://www.kaggle.com/filipdutescu/housing-prices-advanced-regression-techniques) to the [***Housing Prices Advanced Regression Techniques Kaggle Competition***](https://www.kaggle.com/c/house-prices-advanced-regression-techniques).
The source code can be found in the following:
* **[Housing Prices Advanced Regression Techniques.ipynb](Housing%20Prices%20Advanced%20Regression%20Techniques.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](main.py):** the main file, containing all the code that was used to generate and solve the problem
* **[transformers.py](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](https://www.kaggle.com/filipdutescu/housing-prices-advanced-regression-techniques).*
## Author
* **Filip-Ioan Dutescu** - [@filipdutescu](https://github.com/filipdutescu)## License
This project is licensed under the Apache 2.0 License - see the [LICENSE.md](LICENSE.md) file for details.