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Tag: Variance

Feature Engineering, Machine Learning - Data MiningLeave a comment

Principal Component Analysis fully explained

March 13, 2020December 30, 2020 Tung.M.Phung

This article attempts to make PCA crystal clear to anyone who wishes to understand it thoroughly, step-by-step, in both high and low-level concepts. Continue reading Principal Component Analysis fully explained

Machine Learning - Data Mining, Statistics4 Comments

Z-score on a sample set

October 13, 2019July 31, 2020 Tung.M.Phung

We take a set of samples from a given Normal distribution. How extreme is this set? Continue reading Z-score on a sample set

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