Learn Data Preprocessing in Machine Learning step by step with practical Python examples. In this video, you’ll understand how to clean, transform, and prepare raw data before applying machine learning algorithms.
We cover:
Handling missing values
Data transformation techniques
Normalization and scaling
Encoding categorical variables (One-Hot Encoding)
Feature engineering basics
This tutorial is perfect for beginners in Data Science, Machine Learning, and Python.
📌 Tools used: NumPy, Pandas
📌 Level: Beginner to Intermediate
If you want to build strong ML foundations, data preprocessing is the most important step — and this video will make it easy.
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