Tabular Data Science BIU 2022 Final Project

Please see below all the relevant information for the submission.
All you need, is to run the relevant notebook, local or in Colab.
The Colab notebook is standalone, it will clone the datasets from this repository.

Colab Inference Notebook:

https://colab.research.google.com/drive/1Fd-fKZ2BuBxSbxb1K_3E3DUM0VF8x11A?usp=sharing

Repository structure:

.
├── Tabular_Data_Science_Final_Project.ipynb        # Jupyter inference notebook
├── Tabular_Data_Science_Final_Project_report.pdf   # Report
├── datasets                                        # Datasets folder
│   ├── cancer.csv                                  # Dataset 1
│   ├── houses.csv                                  # Dataset 2
│   ├── salaries.csv                                # Dataset 3
│   └── sleeping.csv                                # Dataset 4
├── lib_tds_rg                                      # Library package
│   ├── __init__.py
│   ├── dataset_handling_utils.py                   # Dataset utilities
│   ├── empirical_experiments_utils.py              # Empirical experiments utilities
│   ├── plotting_utils.py                           # Plotting utilities
│   └── tds_rg_module.py                            # Raviv-Gavriely distribution similarities method module
└── requirements.txt                                # Pip requirements for the project

Requirements note:

We were asked to supply only the requirments not shown in the course.
The following are all the libs needed: scipy>=1.7.3, pandas, numpy, seaborn, matplotlib, sklearn, statsmodels.