Handling Missing Values Explained | Data Preprocessing Step
In this video, learn how to handle missing values in datasets — an important step in data preprocessing for accurate analysis and better machine learning models.
🔹 Understand types of missing data
🔹 Learn techniques like deletion and imputation
🔹 Use mean, median, and mode to fill missing values
🔹 Explore advanced methods for better results
Perfect for beginners, students, and anyone learning data science or machine learning.
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