Make your feature engineering steps repeatable and get predictions from a new dataset with only one line of code — During model building, feature engineering is generally the most challenging part. You need to check for data types and distributions, fill missing data, make necessary transformations, reduce cardinality of categorical variables when necessary, and so on. It takes too much time and effort. When working in the research environment, that…