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.
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.
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.
