How to Evaluate your Machine Learning Classification models with Python and Scikit-learn
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.
About the channel____________________
TL;DR
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.
All videos will be simple to follow and I'll try to reduce the complicated mathematical stuff to a minimum because I believe that you don't need to know how a CPU works to be able to operate a PC...
GitHub: https://github.com/coding-maniacs
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More videos ____________________
More videos in german: • Evaluation von machine learning Klass... , • Sentiment Analyse mit Python Scikit/P...
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