Exploratory data analysis and supervised learning analysis on the Ames Housing Prices dataset in Jupyter notebook format.
For each analysis there is an English and a Spanish version.
- python==3.9.18
- jupyter==1.0.0
- numpy==1.26.0
- pandas==2.1.1
- matplotlib==3.8.0
- seaborn==0.12.2
- scipy==1.11.3
- dask==2023.6.0
- lightgbm==3.2.1
- ipython==8.15.0
- scikit-learn==1.3.0
- xgboost==1.7.3
$ git clone https://github.com/albertobas/ames-housing-prices.git
$ cd ames-housing-prices
$ conda env create --file environment.yml
$ conda activate ames_housing_prices
$ jupyter notebook