Aarthi KasirajanOptimization Techniques popularly used in Deep LearningIn this article we will be looking briefly at various optimization techniques widely used in Deep Learning. Before reading this article…Sep 9, 2020Sep 9, 2020
Aarthi KasirajanDecision Tree :ExplainedA decision tree is drawn upside down with its root at the top. The feature importance is clear and relations can be viewed.Jul 28, 2020Jul 28, 2020
Aarthi KasirajanLogistic Regression Part 2: Error MetricIn the previous articles, we have seen the equation for Logistics Regression. The link to it is…Jul 14, 2020Jul 14, 2020
Aarthi KasirajanData Distribution TypesA data distribution is a function which shows all possible values of data. It also tells how often each value occurs. From a distribution…Jul 4, 2020Jul 4, 2020
Aarthi KasirajanLogistic Regression Explained :Part 1This is series of articles that covers Logistic Regression gradually.Jun 25, 2020Jun 25, 2020
Aarthi KasirajanLASSO Regression In Detail (L1 Regularization)LASSO stands for Least Absolute Shrinkage and Selection Operator. It is a regularization method that creates models in the presence of…Jun 18, 2020Jun 18, 2020
Aarthi KasirajanRidge Regression(L1 Regularization Method)Regularization is a technique that helps overcoming over-fitting problem in machine learning models. It is called Regularization as it…Jun 17, 20201Jun 17, 20201
Aarthi KasirajanLinear Regression using Sum of Least SquaresIn one of the articles, we have seen how a Gradient Descent algorithm works. The link to it is…Jun 15, 2020Jun 15, 2020
Aarthi KasirajanBrief Summary of Types of Correlation CoefficientsCorrelation or dependence is any linear statistical relationship, whether casual or not, between two random variables.Jun 10, 2020Jun 10, 2020
