Credit Risk Prediction

Project file named CreditRiskPrediction.ipynb can be accessed using Google Colaboratory.

Project Contents

1. Business Understanding
2. Data Requirement
   • Preparing Data
   • Define Target Variable
3. Data Collection
   • Statistical Features
4. Exploratory Data Analysis
   • Univariate Analysis
   • Bivariate Analysis
   • Correlation Variable
   • Feature Engineering
5. Data Preprocessing
   • Handling Missing Values
   • Scalling and Transformation
6. Modeling
   • Random Forest
   • Logistic Regression
7. Conclusion