<p>This episode discusses the difference between Normalization and Standardization. I have also discussed which method we should use based on the use case and ML algorithms. If you have not listened to the episodes on mean standard deviation and variance, then please listen to them first. Link to my <a href="https://fearlessthehindu.wixsite.com/machine-learning-int" target="_blank" rel="noopener noreferer">website</a> to check out the formulas.</p>

This episode discusses the difference between Normalization and Standardization. I have also discussed which method we should use based on the use case and ML algorithms. If you have not listened to the episodes on mean standard deviation and variance, then please listen to them first. Link to my website to check out the formulas.

<p>This episode discusses the difference between Normalization and Standardization. I have also discussed which method we should use based on the use case and ML algorithms. If you have not listened to the episodes on mean standard deviation and variance, then please listen to them first. Link to my <a href="https://fearlessthehindu.wixsite.com/machine-learning-int" rel="noopener noreferrer">website</a> to check out the formulas.</p>

E15 - Normalization vs Standardization

"Machine Learning Interview Help" is a podcast designed to assist candidates who are preparing for machine learning or deep learning interviews. In this podcast, I will cover various machine learning algorithms, and explain the types of questions typically asked by interviewers during interviews for machine learning or related positions. I will explore each topic in-depth and help you understand what the interviewer is looking for based on the job description. I will also break down the math behind various machine learning topics and explain it in a way that is easy to understand.

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E15 - Normalization vs Standardization

E15 - Normalization vs Standardization

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