An end-to-end Machine Learning project that predicts whether a loan will be approved or not based on user inputs.
- Data Cleaning & Preprocessing
- Handling Missing Values
- Feature Encoding & Scaling
- Model Training (Logistic Regression & Random Forest)
- Interactive Web App using Streamlit
- Best Model: Logistic Regression
- Accuracy: ~79%
- Python
- Pandas
- Scikit-learn
- Streamlit
Loan-Approval-ML/ │── data/ │── models/ │── notebooks/ │── app/ │── README.md
git clone https://github.com/kashish836/Loan-Approval-ML.git
cd Loan-Approval-ML/app
streamlit run app.pyThis project helped me understand the complete ML lifecycle — from data preprocessing to deployment.
🔗 GitHub Repo: Loan Approval ML Project


