Showing posts with label ML. Show all posts
Showing posts with label ML. Show all posts
2023/05/30
2022/06/25
How to deal with unbalanced dataset in Machine Learning (ML)
Unbalanced dataset is very common. For example, credit card transaction (majority of them are authentic), malware detection ( majority are benign), internet traffic( majority are friendly), CT-scan ( majority without tumor), etc.
Why we need to deal with it and how to deal with it. Here we are going to use Jupyter notebook to illustrate this problem.
I am writing this post little by little, so it may takes a few days to finish.
https://github.com/chaowu2009/ML_Projects/blob/master/ML_unbalanced_data.ipynb
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