Introduction

Applied machine learning is basically feature engineering - Prof. Andrew Ng

Feature engineering is the process of selecting, extracting, and transforming relevant features from raw data to create a more informative and suitable input for machine learning algorithms. Also, it involves identifying the most important characteristics of the data and representing them in a way that is compatible with machine learning model input scheme (source: ChatGPT).