Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
templates		templates
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
app.py		app.py
bank churn project.ipynb		bank churn project.ipynb
coltranform.pkl		coltranform.pkl
model.pkl		model.pkl

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bank

About

I did end to end project on Bank Churn prediction, which tells us whether a customer would stay with bank or leave. I have build multiple model and selected XGBoost classifer as my final model with accuracy of 90 %. and Finally I developed user friendly web interface using flask.

machine-learning sklearn pandas seaborn logistic-regression matplotlib decision-tree-classifier random-forest-classifier xgboost-classifier

Readme

Apache-2.0 license