Practical Machine Learning Course Day 5 | Handling Missing Values

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This video session is part of the Practical Machine Learning Course, focusing specifically on handling missing values in datasets. You'll learn essential techniques for dealing with incomplete data, including imputation methods and strategies to ensure your machine learning models perform accurately even when faced with missing information. Whether you're new to data science or looking to refine your skills, this session will help you master the art of data preprocessing.

Practical Machine Learning Course Day 5 | Handling Missing Values

Notebook https://github.com/guldarot/Machine_Learning/blob/main/titanic.ipynb

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