Machine Learning: Random Forest with Python from Scratch - Dealing with Missing Values

The video tutorial covers data cleaning, focusing on handling missing values. It explains two main approaches: deleting rows with missing data or imputing values using mean, median, or mode. The tutorial demonstrates these techniques using a Jupyter Notebook with the Titanic dataset. It concludes by saving the cleaned dataset to a CSV file.

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