Introduction Like anything else ,its not too difficult to learn Machine Learning but yes you need to put time and efforts for practicing it.More you practice,the more you learn.You can have a look on posts on demo in R & python after you have read this.The links are given below or you can browse the […]

## Xgboost :Model tuning in Crossvalidation using caret in R

Introduction Here will discuss about the Xgboost model parameter’s tuning using caret package in R.Let’s begin.Open your R console and follow along. To Get Certified for Best Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=GREAT_CODE Importing libraries Importing the library mlbench for sonar dataset and caret […]

## Principal Component Analysis in R

How to Perform PCA in R We will discuss here how to perform principal component analysis in R.Although PCA is required for data sets which have very high dimentionality,we will use the iris data set for simple demonstration.Importing the library MASS for iris dataset.The dimentionality of iris data set is 4 excluding the species variable […]

## What are Dimentionality Reduction Techniques

Introduction Consider the case where you are being provided a data set which has say ten thousand independent variables or columns or predictor variables and say ten millions of records or observations or rows. Let’s now just focus on ten thousand independent variables and also assume they are continuous so that you need not worry […]

## Logistic Regression output interpretation in R

Introduction This is for you if you are looking for interpretation of p-value,coefficient estimates,odds ratio,logit score and how to find the final probability from logit score in logistic regression in R. Let’s begin !! For Best Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=DATA_MASTER Importing libraries,Reading […]

## Plotting Categorical Variable vs continuous variables

Let’s begin Data visualizations from basic to more advanced levels where we can learn about plotting categorical variable vs continuous variable or categorical vs categorical variables.Let’s start RStudio and begin typing in 🙂 For Best Course on Data Science Developed by Data Scientist ,please follow the below link to avail discount https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 #### Let’s store […]

## Correlation Plot

Let’s start visualizing correlation values in a plot.Open your RStudio and begin typing in !!! Let's import the library corrplot for correlation matrix visualization library(corrplot) Let's store the dataset mtcars into dataframe named DataFrame DataFrame <- mtcars Let's find the correlation matrix of this data set corrMatrix <- cor(DataFrame) Let'c visualize the correlation matrix.This plot […]

## Finding patterns in Predictor Variables

Finding correlated variables is very important in order to remove multicollinearity in multiple regression models.Once you know the correlated variables you can choose few from them or may be just one from them.It depends on correlation value and other factors.Let’s begin to visualize the correlation in variables in a nice plot.Open your RStudio and begin […]

## Histogram for data analytics in R

Introduction Let’s begin learning about how to plot histogram in R using ggplot2 Importing libraries Let’s import the ggplot2 library which is needed for ggplot visualization library(ggplot2) Reading data set Let’s import the data set named “diamonds” into the data frame named “DataFrame” DataFrame<-diamonds Looking at data Let’s check the str of the data set […]

## Scatter plot for Data Analytics in R

Introduction Let’s begin learning about how to plot scatter plot in R using ggplot2 Importing libraries Let’s import the ggplot2 library which is needed for ggplot visualization library(ggplot2) Reading data set Let’s import the data set named “diamonds” into the data frame named “DataFrame” DataFrame<-diamonds Looking at data Let’s check the str of the data […]