Feature Selection Courses

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Feature Selection for Machine Learning

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.Rating: 4.5 out of 52384 reviews6 total hours88 lecturesIntermediate

Instructors:

Soledad Galli, Train in Data Team

Rating: 4.5 out of 54.5(2,384)

Machine Learning with Imbalanced Data

Learn to over-sample and under-sample your data, apply SMOTE, ensemble methods, and cost-sensitive learning.Rating: 4.7 out of 5859 reviews9.5 total hours106 lecturesIntermediate

Instructors:

Soledad Galli, Train in Data Team

Rating: 4.7 out of 54.7(859)