Vivek MuraleedharaninNerd For TechWhat are Transformers models- part 3In the previous stories we discussed about Transformers models and their application and did some detailed discussion about the Encoder…Jul 23, 2021Jul 23, 2021
Vivek MuraleedharaninNerd For TechWhat are Transformers models- part 2In the previous article we talked about the transformers models and their application in different use cases. In this article we are going…Jul 12, 2021Jul 12, 2021
Vivek MuraleedharaninNerd For TechWhat are Transformers models- part 1Transformers generally Language models which means they are trained on large collection of text data and they are capable of doing various…Jul 8, 2021Jul 8, 2021
Vivek MuraleedharaninNerd For TechDomain Adaptation problems in Machine learningDomain adaptation is the ability to apply an algorithm trained in one or more “source domains” to a different (but related) “target…Jun 18, 2021Jun 18, 2021
Vivek MuraleedharanWhat is the Dummy variable trap in Pandas ?Dummy variable by definition is the numerical values that represent the categorical variable in the data and can take only 0 and 1. When…Jun 13, 2021Jun 13, 2021
Vivek MuraleedharanWhat is Linear Discriminant Analysis (LDA)Generally we can say that Linear Discriminant Analysis is a dimensionality reduction technique like PCA( principle component analysis) but…May 26, 2021May 26, 2021
Vivek MuraleedharanWhy Random Forest is better than Decision treeIn this article I’m pointing some features of random forest that make it better modelMay 14, 2021May 14, 2021
