July 5, 2022, 1:34 p.m. | Gowtham S R

Towards AI - Medium pub.towardsai.net

Is feature scaling mandatory? when to use standardization? when to use normalization? what will happen to the distribution of the data? what is the effect on outliers? Will the accuracy of the model increase?

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When we begin the data science journey, we get a few questions regarding feature scaling which are really confusing.

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The above questions are frequently asked in interviews too,, I will try to answer the above questions in this blog by …

artificial intelligence data science data scientist deep learning feature machine learning normalization scaling standardization

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Applied Scientist, Control Stack, AWS Center for Quantum Computing

@ Amazon.com | Pasadena, California, USA

Specialist Marketing with focus on ADAS/AD f/m/d

@ AVL | Graz, AT

Machine Learning Engineer, PhD Intern

@ Instacart | United States - Remote

Supervisor, Breast Imaging, Prostate Center, Ultrasound

@ University Health Network | Toronto, ON, Canada

Senior Manager of Data Science (Recommendation Science)

@ NBCUniversal | New York, NEW YORK, United States