Sidharth SekharinAnalytics VidhyaIntuition and working behind AdaBoostA short and easily understandable primer on Adaboost and the intuition behind it.Sep 4, 2019Sep 4, 2019
Sidharth SekharinAnalytics VidhyaMath Behind Support Vector MachinesThe math and intuition behind Support Vector machines along with the associated loss functionsAug 27, 2019Aug 27, 2019
Sidharth SekharinAnalytics VidhyaMath behind Linear, Ridge and Lasso RegressionExplore the math and intuition behind Linear Regression including Gradient Descent, Lasso and Ridge regression.Aug 23, 20191Aug 23, 20191
Sidharth SekharinAnalytics VidhyaMath Behind Logistic Regression AlgorithmA detailed explanation on Logistic Regression, the intuition and the math behind it with code in PythonAug 20, 20194Aug 20, 20194
Sidharth SekharLeast Absolute Shrinkage and Selection Operator(LASSO Regression)Machine learning models tend to overfit the data they are trained in leading to high variance. This problem of overfitting can be dealt…Aug 16, 2019Aug 16, 2019
Sidharth SekharPolynomial Regression, OverFitting and Ridge Regression- An OverviewIn many real-world data sets, the relationship between the dependent and independent variables is non-linear and it is difficult to get a…Aug 14, 2019Aug 14, 2019
Sidharth SekharMultiple RegressionMore often than not in regression problems, there is more than one independent variable based on which the dependent variable’s value…Aug 13, 2019Aug 13, 2019
Sidharth SekharWeb Scraping using BeautifulSoupThe internet is one of the biggest repositories of data. The ability to pull data from the websites and put it off use is of importance to…Aug 8, 2019Aug 8, 2019
Sidharth SekharSimple Linear Regression — A comprehensive guideSupervised learning is a set of machine learning algorithms that predict an outcome y based on input data that are labeled. One of the…Aug 7, 2019Aug 7, 2019
