Boxplot Age vs treatment

## How do I learn Machine Learning

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…

Model tuning of Xgboost

## 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…

Biplot in PCA

## 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…

Biplot in PCA

## 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…

AIC and deviance

## Deviance and AIC for Logistic Regression in R

Introduction This is for you,if you are looking for Deviance,AIC,Degree of Freedom,interpretation of p-value,coefficient estimates,odds ratio,logit score and how to find the final probability from logit score in logistic regression…

Logistic Regression Output interpretation

## 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…

Cross-validation in R

## Avoid Over fitting & start crossvalidation

Introduction If you want to learn what is K-fold cross-validation and how is it done in R,then please follow along.Open your RStudio and have fun!! Course for Beginners: https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 What…

barplot Age vs Improved

## 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…

k-means clusters

## K-means Clustering for Data Analytics in R

Introduction Here we will know about "how to perform k-means clustering in R" and "how to find best value of k in k-means clustering" Importing library Let's open RStudio and…

Correlation plot

## 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…