Data Preprocessing| Data Wrangling| Complete lecture| Python

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. 👉 Subscribe for more content on Machine Learning, Deep Learning & GAT Preparation on Technically Explained