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…4 min read·Jul 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…3 min read·Jul 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…2 min read·Jul 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…5 min read·Jun 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…4 min read·Jun 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…2 min read·May 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 model1 min read·May 14, 2021----