Prajwal KbNaive Bayes ClassificationNaive Bayes is a classifiers and blongs to simple probabilistic classifiers family based on applying Bayes theorem with strong (naive)…1 min read·Jun 30, 2020----
Prajwal KbAlgorithms used for “time series trend”Linear Regression: pros:- Ability to handle different time series components and features. cons:- Sensitive to outliers and strong…1 min read·Jun 30, 2020----
Prajwal KbConversion of CFG to Chomsky Normal Form with example-CFG:>” Context-Free Grammar”1 min read·Dec 21, 2019----
Prajwal KbLogistic Regression equation explained with exampleLogistic regression falls under Supervised learning, And is used for classification problems where we have to predict categorical label…2 min read·Oct 13, 2019----
Prajwal KbLinear Regression with exampleSupervised Learning algorithm is divided into two parts: 1.Regression algorithm and 2. Classification algorithm5 min read·Sep 28, 2019----