Monday, September 25, 2017
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...
Machine learning

Machine Learning and Data Science best courses

Here is a list of top online courses from top universities for data science & machine learning beginners and for those who wants to excel more into data science.You can click...
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!! What is Cross-validation A model is usually given 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: gridReading...
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...

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...


What is Data Analytics???

Discovery, interpretation, and communication of meaningful patterns in data is part of data analytics.Analytics is compulsory for business for describing, predicting, and improving business...