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 -

Data Analysis and Preparation

1. Data Exploration

2. Data Preprocessing (Feature Engineering)

3. Data Preparation

   1. (Train/Test Split) 2.Feature Scaling - Normalization

4.Model Building

1. Logistic Regression
2. Decision Tree
3. Random Forest
4. Support Vector Machine
5. K-Nearest Neighbors

5. Evaluating Model

6. Testing Model with mini application

7. Derived Conclusion