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Upsampling - A technique to rectify data imbalance

To view more free Data Science code recipes, visit us at: https://bit.ly/3AJNLPh Suppose you have a dataset that must be classified into two classes: Class A and Class B. Now, if the dataset consists of 90% data points belonging to A and only 10% belonging to B, the dataset is called imbalanced. If you feed it as it is to the model, there is a high probability that the model will not pick up trends of dataset B. This results in a model biased towards A, which can be rectified with two techniques: Downsampling and Upsampling. This video covers the upsampling technique. In this technique, you increase the data points of the minority classes. You can find the video that explains downsampling at    • Downsampling - A technique to rectify...  . Why ProjectPro? With ProjectPro, you get access to 100,000+ lines of verified, downloadable code and 50,000+ minutes of videos and practical hands-on experience from real industry projects as well as Tech support and 1-1 sessions. So, check out ProjectPro - the only solution for solved industrial-grade projects. Also, subscribe to our channel to get video updates.