Loan Approval Prediction

This repository contains a Jupyter Notebook and dataset for predicting loan approval status using machine learning techniques. The dataset used is loaded from a CSV file and analyzed using Python's data science libraries.

Features

• Exploratory Data Analysis (EDA)
• Data Preprocessing and Cleaning
• Feature Engineering
• Model Training and Evaluation

Requirements

Ensure you have the following Python libraries installed:

pip install pandas numpy seaborn matplotlib scikit-learn

Usage

Run the Jupyter Notebook:

jupyter notebook Loan_Approval_Prediction.ipynb

Dataset

The dataset should be placed in the project directory. The notebook reads the dataset from:

train_u6lujuX_CVtuZ9i.csv

Model

The notebook explores different machine learning models and evaluates their performance to determine the best approach for loan approval prediction.

License

This project is open-source and available for use under the MIT License.