Data Preprocessing in Python | Missing Values, One-Hot Encoding, & More (Beginner Friendly)
Learn how to perform essential data preprocessing steps in Python using real examples!
In this video, we cover: ✅ Handling Missing Data
✅ Data Transformation
✅ One-Hot Encoding (Categorical Data)
✅ Preprocessing techniques using pandas and sklearn
This is a beginner-friendly tutorial perfect for aspiring data analysts and ML enthusiasts.
🔧 Tools used:
Python
Pandas
Scikit-learn
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#DataPreprocessing #Python #MachineLearning #DataScience #OneHotEncoding #MissingData #Pandas #sklearn #DataCleaning
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