Loan Prediction Model

This repository contains a machine learning model for predicting loan approvals. The project involves exploratory data analysis (EDA), data preprocessing, and model training using various algorithms.

---

Key Steps

• Exploratory Data Analysis (EDA): Gained insights into the dataset.
• Handling Missing Values: Addressed incomplete data points to ensure consistency.
• Visualization: Created graphs and charts for better understanding of data patterns.
• Feature Engineering: Enhanced dataset quality by creating and transforming features.
• Model Training: Implemented and evaluated the following models:
  • Random Forest
  • Linear Regression
  • Decision Tree

---

Libraries Used

• matplotlib
• seaborn
• numpy
• pandas
• scikit-learn

---

How to Use

1. Clone the repository:

   git clone https://github.com/your-username/loan-prediction-model.git