Solving Class Imbalance Problems with Ease Data Balancer: Class imbalance is a significant challenge in machine learning that can lead to inaccurate predictions and biased results. Enter the Data Balancer, a robust and flexible module designed to automate the process of balancing imbalanced datasets. By offering support for oversampling, undersampling, and hybrid techniques, this module delivers balanced, high-quality datasets, paving the way for better machine learning predictions and outcomes. Built…
