# Category: Methods

## Random Forest in R

Random Forest in R, Random forest developed by an aggregating tree and this can be used for classification and regression. One of the major advantages is its avoids overfitting. The random forest can deal...

## Linear optimization using R

Linear optimization using R, in this tutorial we are going to discuss the linear optimization problems in R. Optimization is everything nowadays. We all have finite resources and time and we want to make...

## LSTM Network in R

LSTM network in R, Recurrent Neural Networks will be discussed in this tutorial. Recurrent Neural Networks are extremely useful for resolving problems involving sequences of numbers. The major applications involved in the sequence of...

## Deep Neural Network in R

Deep Neural Network in R, Neural Network is just like a human nervous system, which is made up of interconnected neurons, in other words, a neural network is made up of interconnected information processing...

## Naive Bayes Classifier in Machine Learning

Naive Bayes Classifier in Machine Learning, we are going to discuss the prediction model based on Naive Bayes classification. The prediction model based on the Naive Bayes classification will be discussed in this lesson....

## 15 Essential packages in R for Data Science

Essential packages in R for Data Science, Do you know Most Essential packages in R for Data Science? R is the most popular language for statistical modeling and many data scientist depending on R...

## Repeated Measures of ANOVA in R Complete Tutorial

Repeated Measures of ANOVA in R, in this tutorial we are going to discuss one-way and two-way repeated measures of ANOVA. In this case, the same individuals are measured the same outcome variable under...

## How to run R code in PyCharm?

How to run R code in PyCharm? Now R codes you can run in your PyCharm just simply follow the steps. Download and install the R, python & PyCharm Install the R plugin for...

## How to clean the datasets in R?

How to clean the datasets in R?, Data cleansing is one of the important steps in data analysis. Multiple packages are available in r to clean the data sets, here we are going to...

## R compiler Application-Installation Guide

R compiler, write R codes on your device. You can easily execute basic statistical analysis in mobile itself. This is ideal for learning and testing code snippets. R compiler released in Aug 2018 and...