Learning Path

Python Basics for Data Manipulation → Building a Preprocessing Pipeline

A foundational path for ML beginners to master essential data preparation techniques using Python, including handling missing values, scaling, encoding categorical variables, outlier treatment, and data splitting. This path ensures learners can effectively clean and transform datasets to improve model performance.