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R Package participants will learn
Detail Description of course:
Basic Introduction to R
Getting help
Structure of program in R
Packages:
Basic Data type
Advance data objects
Simple Statistic In R
Loops and conditional
IO in R
Advanced loop
Data Manipulation with plyr and dplyr
Date and Time in R
String Manipulation in R
Function in R
Some mathematical functions
Set Operations in R
Graphics in R:
R connection with Database
Debugging in R
Shiny introduction
Shiny widgets
Data and R Script integration in Shiny
Reactivity
HTML and Shiny
Linear Regression:
Classification:
Logistic regression:
Classification Evaluation metrics :
Decision tree :
Ensemble learning :
Bayes Classification :
Neural Networks :
Clustering :
Market Basket Analysis :
Text Analysis in R:
Recommendation system:
Introduction to deep learning