Machine_learning_Risk_Model_Prediction

• Play with app via url : https://ricky-ml-risk-model-prediction.streamlit.app/

This repository contains a Loan and Credit Risk Analysis Tool built using machine learning and Streamlit to predict:

• Probability of Loan Default
• Credit Score
• Risk Rating (Poor, Average, Good, Excellent)

Key Features

1.Machine Learning Model:

• Training logistic regression model optimized for accuracy.
• Predicts risk metrics based on input financial data.

2.Data Preprocessing:

• Feature engineering : Determine VIF, Corr, WOE & IV .
• Scalable preprocessing pipeline with one-hot encoding and scaling.

3.User-Friendly Interface:

• Intuitive sliders and input fields for data entry.
• Real-time predictions displayed dynamically.

4.Tech Stack

• Machine Learning: Scikit-learn, NumPy, Pandas
• Web Framework: Streamlit
• Model Persistence: Joblib

5.How to Use

• Clone the repository.
• Install dependencies from requirements.txt.
• Run the app using streamlit run app.py.
• Feel free to explore and contribute! 🚀

#MachineLearning #CreditRisk #Streamlit