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This repository covers my code using regression models to predict if a customer would be exiting a bank or not. It also capture the use classification models to classify if a customer has left the bank or not (binary classification).

Python 0.50% Jupyter Notebook 99.50%
data-preprocessing data-visualization decision-tree-classifier decision-tree-regression exploratory-data-analysis feature-selection label-encoding linear-regression logistic-regression machine-learning one-hot-encoding random-forest-classifier random-forest-regression

bank-churning-with-machine-learning's Introduction

Bank Churning

This repository covers;

Regression models

Using regression models to predict if a customer would be exiting a bank or not.

Classification models

Using classification models to classify if a customer has left the bank or not (binary classification).

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