R Programming Training Institute in Bangalore| R Programming | Blue Ocean Learning
R-Programming Tutorial | R-Certification Institiute in Bangalore

R-Language

1 – How R Works

  • Data mining Using Statistical packages
  • A Few concepts Before Starting

2–R-Packages /Sorting

  • R-Calculator
  • Assigning Values To Variables
  • Vector Creation
  • Generating Repeats
  • What is rep Function
  • Generating Factor Levels
  • Sorting Process
  • Transpose Function
  • Stack Function Used

3 – Functions & Reading Data from External Files

  • Merge Function
  • Strsplit Function
  • Matrices
  • Matrix Manipulation
  • Row Sums

4– Generating Plots and Pie Charts

  • Line Plots
  • Bar Plots
  • Bar Plots For Population
  • Histogram
  • Pie Chart Components

5 – Analysis of Variancy (ANOVA)

  • One Way Analysis of Variance
  • Two Way Analysis of Variance

6 – What is Cluster Analysis

  • K-Means Clustering
  • Cluster Algorithm Working

7 – Association Rule Mining Affinity Analysis

  • Association Rule Mining Affinity Analysis

8 – Two Variable RelationShips

  • Linear Regression
  • Dependent And Independent Variables
  • Scatter Plots

9 – Database connectivity & Logistic Regression

  • Logistic Regression
  • Examples of Logistic Regression
  • Logistic Regression in R
  • Predication

10 – ROC Curve in R

  • Confusion Matrix/li>
  • ROC Curve in R
  • Sensitivity & Specificity
  • Data Base Connectivity RODBC
  • Reading Data to ODBC Tables
  • Function (Mean)
  • Examples Of Function

11 – Integrating R with Hadoop

  • Methods to integrate two popular open source softwares for Big Data analytics: R and Hadoop
  • Integrating R with Hadoop using RHadoop and RMR package
  • Exploring RHIPE (R Hadoop Integrated Programming Environment)
  • Writing MapReduce Jobs in R and executing them on Hadoop

Case Study-Project Work

  • Predict Annual Restaurant Sales Based on Objective Measurement
  • Data Overview
  • Data Fields
  • Evaluation using RMSE
  • Feature Engineering / Selection