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Machine Learning Demonstration in R

This section involves implementation of Machine Learning algorithms and data analytics algorithms in R


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...
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 or observations...
Logistic Regression

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...
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 Science Developed by...
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 use the...
decision tree

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...
random forest in T

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...