### 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...

### Random Forest in R

Introduction to Random Forest in R
Let's learn from precise Demo on Random Forest in R for Machine Learning and Data Analytics .Open your RStudio and begin typing in the same things...

### 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...

### Neural Networks for Data Analytics in R

Introduction
Precise Demo on Neural Networks for Machine Learning and Data Analytics in R.
Open your RStudio and follow along !!
Importing libraries
#### importing the library MASS for "Boston" dataset
library(MASS)
library(neuralnet) ## Loading required package: grid Reading...

### 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 follow along !!
Let's import...

### Deep learning in R

Introduction to Deep learning in R
It is precise Demo on Deep learning for Machine Learning using h2o in R. H2O is “The Open Source In-Memory, Prediction Engine for Big Data Science”.The...

### Decision Tree for data analytics in R

Precise Demo on Decision Tree for Machine Learning and Data Analytics in R.Open RStudio and begin typing in the same things as below.Learn by Practice!!
#### Decision Tree is like taking...