# 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
Click the virtual machine below to start practicing