How to Evaluate your Machine Learning Classification models with Python and Scikit-learn

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Learn how to evaluate your machine learning models and check whether they perform good or bad. In Data Science you really want your machine learning models to be as reliable as possible and to make sure that they are you need to evaluate them. Those techniques can also be used to do model selection for your machine learning models. We will use Python and libraries like scikit learn and pandas.

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Awesome Data science without much math!
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Hello I'm Jo the “Coding Maniac”!
On my channel I will show you how to make awesome things with Data Science. Further I will present you some short Videos covering the basic fundamentals about Machine Learning and Data Science like Feature Tuning, Over/Undersampling, Overfitting, ... with Python.

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When to use the log loss vs. accuracy?
When should a classifier be calibrated?

torstenschindler
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