### 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...

### 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 have a...

### 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...