Handling Imbalanced Data – Machine Learning, Computer Vision and NLP

This article was published as a part of the Data Science Blogathon. Introduction: In the real world, the data we gather will be heavily imbalanced most of the time. so, what is an Imbalanced Dataset?. The training samples are not equally distributed across the target classes.  For instance, if we take the case of the personal loan classification problem, it is effortless to get the ‘not approved’ data, in contrast to,  ‘approved’ details. As a result, the model is more […]

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