Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering is most important step for any data scientist.

What is a Variable?

A variable is any characteristic, number, or quantity that can be measured or counted. They are called ‘variables’ because the value they take may vary, and it usually does. The following are examples of variables:

- Age (21, 35, 62, …) - Gender (male, female) - Income (GBP 20000, GBP 35000, GBP 45000, …)…

Ankush kunwar

Data science enthusiastic

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