Machine Learning
Handling Unbalanced Datasets
In this course, you'll learn to recognize and address class imbalance in datasets. Explore practical undersampling and oversampling techniques, visualize their effects, and apply advanced resampling strategies. By the end, you'll be able to train models that perform better on imbalanced data.
Pandas
Python
Scikit-learn
4 lessons
14 practices
2 hours
Coding and Data Algorithms
Course details
Identifying and Understanding Data Imbalance
Counting Classes to Spot Imbalance
Visualizing Imbalance with Bar Plots
Quantifying Imbalance with Class Percentages
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