Credit Card Holder Risk Prediction

Introduction

In this project, you will learn how to build a machine learning classification model to predict the risk status of credit card holders. The project involves preprocessing the data, training a support vector machine (SVM) model, and saving the prediction results to a CSV file.

🎯 Tasks

In this project, you will learn:

• How to prepare the data by performing label encoding on non-numeric features
• How to train a machine learning classification model using the training data
• How to save the prediction results to a CSV file

🏆 Achievements

After completing this project, you will be able to:

• Preprocess and prepare data for machine learning tasks
• Train a support vector machine (SVM) model for classification
• Save the prediction results to a CSV file