Machine Learning Model for Loan Approval Prediction

## Loan Approval Prediction using Machine Learning

Developed a Machine Learning classification project to predict whether a loan application should be approved or rejected based on applicant information.

### Project Workflow

* Data preprocessing and cleaning

* Handling missing values

* Encoding categorical features

* Exploratory Data Analysis (EDA)

* Feature preparation

* Training a Random Forest Classifier

* Evaluating the model using classification metrics

### Model

**Random Forest Classifier**

### Result

Achieved approximately **82.3% accuracy** on the test data.

### Technologies

Python,

Pandas

, NumPy

, Matplotlib,

Seaborn,

Scikit-learn

The project demonstrates an end-to-end Machine Learning workflow, from data preprocessing to model training and evaluation.