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

Co-ordinators : Dr. Gaurav Dixit


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