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…5 min read·Nov 28, 2019----
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.5 min read·Nov 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.5 min read·Oct 14, 2019--2--2
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.6 min read·Sep 30, 2019----
Rekha MinClairvoyant BlogChurning the Confusion out of the Confusion MatrixThis article is about confusion matrix and its uses in machine learning.7 min read·Sep 23, 2019--1--1
Rekha MinClairvoyant BlogSignificance of Hypothesis Testing in Inferential StatisticsThis article discusses the statistical tests and hypothesis testing, their importance and use in machine learning.4 min read·Sep 16, 2019----
Rekha MinClairvoyant BlogEigen decomposition and PCARole of Eigen values and eigen vectors in Principal Component Analysis (PCA)5 min read·Sep 9, 2019--2--2
Rekha MinClairvoyant BlogReinforcement Learning — The Third Paradigm of Machine LearningThe enchanter behind the most happening inventions of artificial intelligence…4 min read·Sep 2, 2019----
Rekha MinClairvoyant Blog#MLmuse — Approaches to Outlier Detection (Part 2)Multivariate unsupervised approaches to identify outliers5 min read·Aug 27, 2019--1--1
Rekha MinClairvoyant Blog#MLmuse — Approaches to Outlier Detection (Part 1)Univariant unsupervised approaches to identify outliers4 min read·Aug 19, 2019----