### 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...

### 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 is Cross-validation
A model is usually...

### 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...

### 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...

### 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...

### 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...