Data Preprocessing Using Python Course

Data preprocessing is a process using which we can process raw data and make the raw data suitable for machine learning models. In this data preprocessing course, we have discussed how to handle missing data, how to encode categorical data, how to discretize continuous values, how to handle outliers in a dataset, how to perform feature scaling, etc. We have also discussed how to use a column transformer or pipeline for data preprocessing in machine learning.