Machine Learning with Scikit-Learn - Part 37 - Preprocessing - Scaling
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In this machine learning tutorial we delve into another method of preprocessing, which deals with the scaling of the data.
More specifically, we're going to apply a MinMaxScaler on a dataset. This type of scaler brings each feature into a value range of 0 to 1, which is really important for the correct training of some machine learning algorithms, like for example support vector machines or neural networks.
The code: https://github.com/CristiVlad25/ml-sk...
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References:
1. Prateek Joshi: Artificial Intelligence with Python - https://www.amazon.com/dp/178646439X
Books I recommend to learn Machine Learning and Deep Learning:
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2. Aurelien Geron - Hands-on Machine Learning: https://amzn.to/2Ri9yqk
3. Ian Goodfellow - Deep Learning: https://amzn.to/31LvHSW
4. Francois Chollet - Deep Learning with Python: https://amzn.to/2KSDvfp
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