Learn · Business analytics and data mining Modeling using R
Lecture 55 of 60Unit 11
Lecture 55 ARTIFICIAL NEURAL NETWORK PART-3
Prof. Gaurav Dixit · IIT Roorkee
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- Business analytics and data mining Modeling using R, IIT Roorkee (at NPTEL)
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- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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All the lectures
- 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