Handling Imbalanced Dataset | Data Science | Python | Machine Learning
In this tutorial, We are going to see how to handle the imbalance data set using different techniques. So, we are taking here credit card fraud detection dataset from the kaggle website. Credit card fraud detection data set is a highly imbalance data set. We try to balance the data set using some techniques. There are some techniques to handle the imbalanced data set but here we are using two techniques to handle the imbalanced data set.
1.Over_sampling technique
2.Under_sampling technique
Source code : https://www.datascience2000.in/2021/0...
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