Easily use Feature scaling with Sklearn | Data Preprocessing In Python episode 6

Описание: Feature scaling makes it harder for our models/algorithms to weigh one piece of data more than the rest of the data reducing the chance of getting bias results. There are two types of feature scaling, normalization, and what this video is all about standard scaling. Standardization is when the values are centered around the mean with a unit standard deviation. This means that the mean of the attribute becomes zero and the results are distributed around the standard deviation. Make sure to sit back relax with your favorite snack and let’s get started, shall we!! As always happy coding
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pip commands to install the modules from today's video:
pip install pandas
pip install scikit-learn
pip install IslanderDataPreprocessing

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github link
https://github.com/Islanderrobotics/f...

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Contact information
Email: [email protected]
Instagram @islander_robotics

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