This is a project to assess the need of caesarian section for pregnant women based on their health condition and history of prior deliveries. The objectives of this project are to:
- Understand the data available
- Test rapidly different classification models
- Assess the best model(s) and improve them
- Present the results and what could be further addressed.
- 1_Problem_description_and_EDA.ipynb [Jupyter notebook]
- 2_Data_preparation_and_Modeling.ipynb [Jupyter notebook]
- caesarian.csv [CSV file]
UCI Machine Learning Repository: Caesarian Section Classification Dataset