ML-Bank-Project

Supervised Machine Learning Code for Bank Churn Analysis This is my First Machine Learning Project upload on Github.

The phases explored in this Project are -

1. Data Analysis and Preparation

2. Data Exploration

3. Data Preprocessing (Feature Engineering)

4. Build Machine Learning Project

   1. Data Preparation (Train/Test Split)

   2. Prediction with Logistic Regression

   3. Prediction with Decision Tree

   4. Prediction with Gaussian Naive Bayes

   5. Prediction with Random Forest

   6. Feature Scaling - Normalization

   7. Prediction with Support Vector Machine

   8. Prediction with K-Nearest Neighbors

5. Evaluating Model

6. Testing Model with mini application

7. Derived Conclusion