Steps for feature engineering before building machine learning model

After Exploratory data analysis, data Quality checks and addressing missing values data set train data is ready for feature engineering.

Please visit my previous post on exploratory data analysis before using feature engineering descibed in this post.

My below example can be found in Kaggle. Please find the dataset

Following are feature engineering I see in use always to deal with numeric and categorical values