This project uses a large data set to demonstrate a variety of data science and machine learning techniques
The data set for this machine learning tour is hosted on Google Drive. The file is a compressed text file containing comma-separated data in 10 columns. The goal is to build a model to predict the 10th column using the first 9 columns.
- Install Anaconda or a similar Python environment. This project uses Python 3.x but 2.x may work.
- Install required packages:
pip install --user --upgrade -r requirements.txt
The project has 3 modules that can be run:
- Exploratory data analysis:
python run_eda.py - Fit a wide range of models to the data:
python run_model_fit.py - Fit a final model:
python run_model_fit.py