Thursday, December 13, 2018
Home Machine Learning Demonstration in R Classification Algorithms in R

Classification Algorithms in R

This section involves implementation of classification algorithms like random forest in R

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...
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...
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: What is Cross-validation A model is usually...

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...
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...
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...