pstrongCreate end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesstrongppbrppstrongKey Features strongpulliLearn and implement feature engineering best practicesliliReinforce your learning with the help of multiple hands-on recipesliliBuild end-to-end feature engineering pipelines that are performant and reproducibleliulpbrppstrongBook Description strongppFeature engineering, the process of transforming variables and creating features, albeit time-consuming, ensures that your machine learning models perform seamlessly. This second edition of Python Feature Engineering Cookbook will take the struggle out of feature engineering by showing you how to use open source Python libraries to accelerate the process via a plethora of practical, hands-on recipes.ppbrppThis updated edition begins by addressing fundamental data challenges such as missing data and categorical values, before moving on to strategies for dealing