Data preprocessing

Data cleansing and preparation is the most critical first step in any AI project. As the evidence suggests, most data scientists spend most of their time (up to 70%) cleaning up data.

If you really want to avoid the embarrassing situation of your machine learning model producing garbage results, you need to understand the importance of "effective data preprocessing and feature engineering" as the title implies.