Search

talkRtive
talkRtive
  • Blog
  • About
  • Resume

Recent Posts

Random forest in R using the tidymodels framework

The Random forest algorithm is one of the most used algorithm for building machine learning models. The random forest algorithm is a tree based algorithm that combines several decision trees of varying depth, and it is mostly used for classification problems.
Last updated on Oct 9, 2020 r programming, tidymodels
Random forest in R using the tidymodels framework

Cluster analysis in r (Clustering)

Clustering is a way of dividing data points with shared attribute into groups(clusters). The clustering system falls under unsupervised learning, where a data set is provided without label and the algorithm tries to figure out groups to assign each data point based on how similar or dissimilar they are to each other.
Last updated on Sep 19, 2020 clustering
Cluster analysis in r (Clustering)

Kruskal-wallis test in r (Simple guide)

A simple guide to performing kruskal wallis test in R
Last updated on Sep 17, 2020 r programming, statistics
Kruskal-wallis test in r (Simple guide)

Commonly used R markdown chunk options

There are more than 50 chunk options that can be used to fine tune the behavior of knitr when processing code chunks, in this lesson we are going to list all the chunk options and discuss some of the most commonly used.
Last updated on Sep 15, 2020 rmarkdown
Commonly used R markdown chunk options

Visualizing and interpreting correlation in R

R is a good statistical tool for performing so many statistical tests. In this lesson i will walk you through how to test/interpret correlation between varibles in r.
Last updated on Sep 3, 2020 r programming, statistics
Visualizing and interpreting correlation in R
See all posts

© talkRtive 2020

Published with Academic Website Builder

Cite
Copy Download