4 Key Steps in Preprocessing Data for Machine Learning
Aiiot Talk
MARCH 20, 2024
This step involves cleaning your data, handling missing values, normalizing or scaling your data and encoding categorical variables into a format your algorithm can understand. Techniques such as normalization and scaling are vital. Picking the right tool for your data ensures your project runs smoothly.
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