Rekha MinClairvoyant BlogDealing with Interaction Effects in RegressionIn regression, when the influence of an independent variable on a dependent variable keeps varying based on the values of other…Nov 28, 20191Nov 28, 20191
Rekha MinClairvoyant BlogUpside Down Trees that Divide and ConquerDecision Tree Algorithm — one of the most widely used, easy to implement and easy to interpret supervised learning algorithms.Nov 12, 2019Nov 12, 2019
Rekha MinClairvoyant BlogEntropy, Information gain and Gini Index; the crux of a Decision TreeA brief on the key information measures used in a decision tree algorithm.Oct 14, 20192Oct 14, 20192
Rekha MinClairvoyant BlogThe Ascent of Gradient DescentThe intuition behind Gradient descent and its types: Batch gradient descent, Stochastic gradient descent, and Mini-batch gradient descent.Sep 30, 2019Sep 30, 2019
Rekha MinClairvoyant BlogChurning the Confusion out of the Confusion MatrixThis article is about confusion matrix and its uses in machine learning.Sep 23, 20191Sep 23, 20191
Rekha MinClairvoyant BlogSignificance of Hypothesis Testing in Inferential StatisticsThis article discusses the statistical tests and hypothesis testing, their importance and use in machine learning.Sep 16, 2019Sep 16, 2019
Rekha MinClairvoyant BlogEigen decomposition and PCARole of Eigen values and eigen vectors in Principal Component Analysis (PCA)Sep 9, 20192Sep 9, 20192
Rekha MinClairvoyant BlogReinforcement Learning — The Third Paradigm of Machine LearningThe enchanter behind the most happening inventions of artificial intelligence…Sep 2, 2019Sep 2, 2019
Rekha MinClairvoyant Blog#MLmuse — Approaches to Outlier Detection (Part 2)Multivariate unsupervised approaches to identify outliersAug 27, 20191Aug 27, 20191
Rekha MinClairvoyant Blog#MLmuse — Approaches to Outlier Detection (Part 1)Univariant unsupervised approaches to identify outliersAug 19, 2019Aug 19, 2019