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.
A simple guide to performing kruskal wallis test 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.
Text mining gets easier everyday with advent of new methods and approach. In this lesson i will walk you through how you can use R/Rstudio with the combination of some powerful packages to make sense out of unstructured text data and even go further to build a predictive model.
Conducting one-way and two-way analysis of variance (ANOVA) test in R
In this lesson we will try to understand Logistic Regression in r and how to build a predictive model with it.
Building a linear regression model in r using both the base r and the tidymodels approach
A detailed explanation on how the tidyverse r package can be used to perform data cleaning and analysis
Predicting the result of a virtual football game with SVM and random forest algorithms using the tidymodels r package
Scraping the content of a site with login requirement and iframe using the RSelenium r package can be very easy. In this lesson you will learn how.....