Friday, September 21, 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

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...
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: https://www.udemy.com/machine-learning-using-r/?couponCode=DISFOR123 What is Cross-validation A model is usually...
deeplearning

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 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...
deeplearning

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

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...