Loan Status Prediction Using Machine Learning

Loan Status Prediction Using Machine Learning

A machine learning project designed to predict whether a loan application is likely to be approved based on applicant and loan-related information.

The project includes:

- Data preprocessing and cleaning

- Handling missing values and outliers

- Encoding categorical features

- Feature scaling

- Exploratory data analysis and visualization

- Handling class imbalance using SMOTE

- Training a Decision Tree classification model

- Evaluating the model using classification metrics

- Visualizing data patterns and model results

The project demonstrates an end-to-end machine learning workflow, from raw data preprocessing to building and evaluating a predictive model.