Machine Learning - Data Mining, Preparatory PhaseLeave a comment

Imbalanced Learning: sampling techniques

May 24, 2020April 10, 2022 Tung.M.Phung

Various types of sampling techniques for imbalanced datasets are discussed in depth with examples and analysis. Get yourself familiar with over-/under-sampling, SMOTE, ADA-SYN, sampling with cleaning, boosting, clustering, and more. Continue reading Imbalanced Learning: sampling techniques

Machine Learning - Data Mining, MiscellaneousLeave a comment

Over-fitting and Under-fitting

October 5, 2019July 31, 2020 Tung.M.Phung

Let’s examine everything we need to know about over-fitting and under-fitting. Continue reading Over-fitting and Under-fitting

Machine Learning - Data Mining, Regression ModelsLeave a comment

Regularization for Linear regression

October 5, 2019July 31, 2020 Tung.M.Phung

We tackle Regularization for Linear Regression by answering 5 questions: What, When, Where, How, and Why? Continue reading Regularization for Linear regression

Tung M Phung's Blog

Tag: over-fitting

Imbalanced Learning: sampling techniques

Over-fitting and Under-fitting

Regularization for Linear regression