Solution of AI Hack Tunisia filtration problem.
# AI Tunisia Hackathon Financial Inclusion
This is a solution for Financial Inclusion evaluation problem for the AI Hack Tunisia.
- AI HACK TUNISIA (
ai-hack-tunisia.com)
I Tried several models: Logistic Regression, GaussianNB, KNeighborsClassifier, LinearSVC, and finally SVC.
SVC could reach 88.48% accuracy.
In the `main.py` file there is a playground for how I got there using plots and different charts to identify what is important in the model.
In `svc.py` there is the neat solution using Support Vector Machine.
## How to get it working:
`
conda create --name env
`
`
pip install -r requirements.txt
`
Enjoy.