🏦 Loan Approval Prediction using Machine Learning

🎯 Objective

To predict the approval status of loan applications using machine learning, based on transformed and cleaned applicant data from a CSV file

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🔁 Typical Workflow

📊 1. Data Collection

Data sourced from publicly available datasets (e.g.,(https://drive.google.com/drive/folders/1cQHa3FngeeDsJHDS3rgPm5HWy7KTN37A)).

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🧹 2. Data Preprocessing

• Handling missing values
• Encoding categorical variables
• Feature scaling

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🤖 3. Model Building

Implemented and compared the following models:

• K-Nearest Neighbors (KNN)
• Decision Tree Classifier
• Random Forest Classifier
• Naive Bayes Classifier

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📈 4. Model Evaluation

Evaluated model performance using:

• Accuracy
• Precision

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