Machine Learning - Over-& Undersampling - Python/ Scikit/ Scikit-Imblearn

Pubblicato il: 09 ottobre 2017
sul canale di: Johannes Frey
22,146
421

In this video I will explain you how to use Over- & Undersampling with machine learning using python, scikit and scikit-imblearn.
The concepts shown in this video will show you what Over-and Undersampling is and how to correctly use it even when cross-validating. So let's go!

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 Klassifizi...  ,    • Sentiment Analyse mit Python Scikit/Pandas  
Subscribe "Coding Maniac":    / @johannesfrey  
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