Machine Learning with Imbalanced Data
Learn multiple techniques to tackle data imbalance and improve the performance of your machine learning models What you’ll learn Under-sampling methods at random Under-sampling methods which focus on observations that are harder to classify Under-sampling methods that ignore potentially noisy observations Over-sampling methods to increase the number of minority observations Ways of creating syntethic data … Read more