NOC:Business Analytics and Data Mining Modeling using R (USB)

Media Storage Type : 32 GB USB Stick

NPTEL Subject Matter Expert : Dr. Gaurav Dixit

NPTEL Co-ordinating Institute : IIT Roorkee

NPTEL Lecture Count : 60

NPTEL Course Size : 15 GB

NPTEL PDF Text Transcription : Available and Included

NPTEL Subtitle Transcription : Available and Included (SRT)

Lecture Titles:

Lecture 1 - Introduction
Lecture 2 - Data Mining Process
Lecture 3 - Introduction To R
Lecture 4 - Basic Statistics
Lecture 5 - Basic Statistics - Part 2
Lecture 6 - Partitioning Process
Lecture 7 - Visualization Techniques
Lecture 8 - Visualization Techniques - Part 2
Lecture 9 - Visualization Techniques - Part 3
Lecture 10 - Visualization Techniques - Part 4
Lecture 11 - Visualization Techniques - Part 5
Lecture 12 - Visualization Techniques - Part 6
Lecture 13 - Dimension Reduction Techniques
Lecture 14 - Dimension Reduction Techniques - Part 2
Lecture 15 - Dimension Reduction Techniques - Part 3
Lecture 16 - Performance Metrics
Lecture 17 - Performance Metrics - Part 2
Lecture 18 - Performance Metrics - Part 3
Lecture 19 - Performance Metrics - Part 4
Lecture 20 - Performance Metrics - Part 5
Lecture 21 - Prediction Performance
Lecture 22 - Multiple Linear Regression
Lecture 23 - Multiple Linear Regression - Part 2
Lecture 24 - Multiple Linear Regression - Part 3
Lecture 25 - Multiple Linear Regression - Part 4
Lecture 26 - Multiple Linear Regression - Part 5
Lecture 27 - Multiple Linear Regression - Part 6
Lecture 28 - Machine Learning Technique K-Nn
Lecture 29 - Machine Learning Technique K-Nn - Part 2
Lecture 30 - Machine Learning Technique K-Nn - Part 3
Lecture 31 - Naive Bayes
Lecture 32 - Naive Bayes - Part 2
Lecture 33 - Naive Bayes - Part 3
Lecture 34 - Naive Bayes - Part 4
Lecture 35 - Naive Bayes - Part 5
Lecture 36 - Classification And Regression Trees
Lecture 37 - Classification And Regression Trees - Part 2
Lecture 38 - Classification And Regression Trees - Part 3
Lecture 39 - Classification And Regression Trees - Part 4
Lecture 40 - Classification And Regression Trees - Part 5
Lecture 41 - Classification And Regression Trees - Part 6
Lecture 42 - Pruning Process
Lecture 43 - Pruning Process - Part 2
Lecture 44 - Pruning Process - Part 3
Lecture 45 - Regression Trees
Lecture 46 - Logistic Regression
Lecture 47 - Logistic Regression - Part 2
Lecture 48 - Logistic Regression - Part 3
Lecture 49 - Logistic Regression - Part 4
Lecture 50 - Logistic Regression - Part 5
Lecture 51 - Logistic Regression - Part 6
Lecture 52 - Logistic Regression - Part 7
Lecture 53 - Artificial Neural Networks
Lecture 54 - Artificial Neural Network - Part 2
Lecture 55 - Artificial Neural Network - Part 3
Lecture 56 - Artificial Neural Network - Part 4
Lecture 57 - Artificial Neural Network - Part 5
Lecture 58 - Artificial Neural Network - Part 6
Lecture 59 - Discriminant Analysis
Lecture 60 - Discriminant Analysis - Part 2