Published inCenter for Open Source Data and AI TechnologiesLearn What Lies Beneath Our Ready-to-Run Deep Learning ModelsA Set of Pre-Trained Models That Can Make it Easy for You to Integrate Machine Learning Into Your Applications.Nov 5, 2018Nov 5, 2018
Published inTDS ArchiveLogistic Regression — Detailed OverviewLogistic Regression was used in the biological sciences in early twentieth century. It was then used in many social science applications…Mar 15, 201840Mar 15, 201840
Is R-Square value always between 0 to 1?R-square value gives the measure of how much variance is explained by model. For a given set of points, the default regression line with…Mar 1, 20181Mar 1, 20181
Published inTDS ArchiveLinear Regression — Detailed ViewLinear regression is used for finding linear relationship between target and one or more predictors. There are two types of linear…Feb 26, 201822Feb 26, 201822
Support Vector Machine — Using NumpyFull code in https://github.com/SSaishruthi/SVM-using-NumpyFeb 2, 20183Feb 2, 20183
Math behind Gradient DescentFull code in https://github.com/SSaishruthi/Math_behind_Gradient_DescentJan 14, 20182Jan 14, 20182
Published inTDS ArchiveHandling Sparse matrix — Concept behind Compressed Sparse Row (CSR) matrixThere are two types of matrices that are common — Dense and SparseJan 5, 20184Jan 5, 20184
Data Mining Introduction — Data PreprocessingData preprocessing is crucial in any data mining process as they directly impact success rate of the project. This reduces complexity of…Jan 3, 2018Jan 3, 2018
Data Mining — A Gentle IntroductionData mining is the process of handling large data sets and identify interesting as well as meaningful patterns and relationships between…Jan 2, 2018Jan 2, 2018