Published inGoPenAIPrompt Engineering Basic GuidePrompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide…Sep 2Sep 2
Published inAnalytics VidhyaRegularization in Machine LearningRegularization is a technique used to reduce the error by fitting a function appropriately on a given training data set & to avoid Overfit.Oct 12, 2020Oct 12, 2020
Published inAnalytics VidhyaDecision Tree IntuitionDecision Trees are easy & Simple to implement & interpreted. Decision Tree is a diagram (flow) that is used to predict the course of…Oct 3, 2020Oct 3, 2020
Published inAnalytics VidhyaClassification Metrics with Geometrical ExplanationMetrics for Evaluating Machine Learning Algorithms is to find out how effective is the model for different datasets.Sep 23, 2020Sep 23, 2020
Published inAnalytics VidhyaLinear Regression Math & Geometrical IntuitionLinear Regression is one of the basic & simple linear models in machine learning which uses the statistical technique of OLS (Ordinary…Sep 16, 2020Sep 16, 2020
Published inAnalytics VidhyaLogistic Regression Math & Geometrical Intuition with ExampleLogistic Regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary). Like all…Sep 12, 2020Sep 12, 2020
