Job category:
Artificial Intelligence

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
Badge for Coding and Data Algorithms,
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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