ML Series | Episode 2 | Data Preprocessing Secrets: The 5 Steps Every ML Beginner MUST Know
📊 Data is the most important part of Machine Learning!
Before you can train any model, you MUST preprocess your data. In this faceless tutorial, we cover the 5 essential data preprocessing steps for beginners.
Learn how to handle missing data (imputation), deal with outliers, master feature engineering (like One-Hot Encoding and Feature Scaling), and correctly use the train-test-validation split.
This is the most crucial step in any ML workflow.
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