jlvengo / course-resources-ml-with-experts-budgets

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

course-resources-ml-with-experts-budgets

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

To see the model, take a look at the notebook that builds the winning model.

To run the notebook, first install the dependencies with:

pip install -r requirements.txt

Then run:

jupyter notebook notebooks/1.0-full-model.ipynb

Project Organization

├── LICENSE
├── README.md   
├── data
│   ├── TestSet.csv
│   └── TrainingSet.csv
├── notebooks
│   └── 1.0-full-model.ipynb
├── requirements.txt
└── src
    ├── __init__.py
    ├── data
    │   └── multilabel.py
    ├── features
    │   └── SparseInteractions.py
    └── models
        └── metrics.py

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Project based on the cookiecutter data science project template. #cookiecutterdatascience