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letsgogeeky/ai-tunisia-hack-financial-inclusion

Domain:

socioeconomic
Creator:
let
Host:
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.