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Part 01 - Data Preprocessing

Welcome to Part 01 on Data Preprocessing!

We will start by learning and doing Data Preprocessing in Python (next section), and then in R (section after Python). I remind that it is not necessary to master the two languages. We just made this course in both Python and R so that everyone can work on its favourite programming language.

So feel free to pick the section you want (Python or R), and then move on to Part 2 - Regression.

Excited to begin with you the Machine Learning journey!

Data Preprocessing

Data preprocessing is the process of cleaning and transforming raw data to make it suitable for analysis or machine learning tasks.
In the below notebook, data preprocessing steps include handling missing data using SimpleImputer and scaling numerical features using StandardScaler.

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