What is OVERFITTING in Machine Learning models and how to AVOID it using python and scikit-learn
Learn what overfitting is and how to avoid overfitting in your machine learning models. An overfitted machine learning model is a really bad thing and could lead you in all sorts of trouble. As a Data Scientist, you really should make sure that your model is healthy. This video will explain what overfitting is and how to get rid of it. For this, we will use Python and libraries like scikit-learn and pandas dataframes.
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
More videos on "Coding Maniac": / @johannesfrey
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