When basic addition leads to exponential gains: Feature Engineering for Machine Learning.

Photo by Sajad Nori on Unsplash

Feature engineering is the process of using domain knowledge to extract features (characteristics, properties, attributes) from raw data. Feature engineering has been employed in Kaggle competitions and machine learning projects. ~ Wikipedia

What is feature engineering?

How exactly do I engineer features?

Feature engineering works best in large amounts of data. The more data, the more likely you are to get significant results out of it.

Can I have an example?



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