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💰 Loan Approval Prediction App

An end-to-end Machine Learning project that predicts whether a loan will be approved or not based on user inputs.


🚀 Features

  • Data Cleaning & Preprocessing
  • Handling Missing Values
  • Feature Encoding & Scaling
  • Model Training (Logistic Regression & Random Forest)
  • Interactive Web App using Streamlit

📊 Model Performance

  • Best Model: Logistic Regression
  • Accuracy: ~79%

🖥️ App Preview

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Prediction (output)


🌍 Live Demo

🛠 Tech Stack

  • Python
  • Pandas
  • Scikit-learn
  • Streamlit

📂 Project Structure

Loan-Approval-ML/ │── data/ │── models/ │── notebooks/ │── app/ │── README.md


▶️ How to Run

git clone https://github.com/kashish836/Loan-Approval-ML.git
cd Loan-Approval-ML/app
streamlit run app.py

💡 Learnings

This project helped me understand the complete ML lifecycle — from data preprocessing to deployment.


🔗 GitHub Repo

🔗 GitHub Repo: Loan Approval ML Project

About

End-to-end Machine Learning project to predict loan approval using real-world data, including EDA, feature engineering, and model building.

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