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