Learn · Data Analysis & Decision Making - II
Lecture 20 of 60Week 4
Lecture 20: Decision Trees
Prof. Raghu Nandan Sengupta · IIT Kanpur
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- Data Analysis & Decision Making - II, IIT Kanpur (at NPTEL)
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All the lectures
- Lecture 01: Utility Analysis
- Lecture 02: Utility Analysis
- Lecture 03: Utility Analysis
- Lecture 04: Utility Analysis
- Lecture 05: Utility Analysis
- Lecture 06: Utility Analysis
- Lecture 07: Utility anlysis
- Lecture 08: Utility analysis
- Lecture 09: Decisions and Utility Analysis
- Lecture 10: Safety first principle
- Lecture 11: Loss Function
- Lecture 12: Loss Function
- Lecture 13: Balanced Loss Function
- Lecture 14: DEA
- Lecture 15: DEA
- Lecture 16: DEA
- Lecture 17: DEA
- Lecture 18: Decision Trees
- Lecture 19: Decision Trees
- Lecture 20: Decision Trees
- Lecture 21: AHP
- Lecture 22: AHP
- Lecture 23: AHP
- Lecture 24: AHP
- Lecture 25: AHP
- Lecture 26: ELECTRE
- Lecture 27: ELECTRE
- Lecture 28: ELECTRE
- Lecture 29: ELECTRE
- Lecture 30: ELECTRE
- Lecture 31: TOPSIS
- Lecture 32: TOPSIS
- Lecture 33: TOPSIS
- Lecture 34: TOPSIS
- Lecture 35: TOPSIS
- Lecture 36: VIKOR
- Lecture 37: VIKOR
- Lecture 38: VIKOR
- Lecture 39: VIKOR
- Lecture 40: VIKOR
- Lecture 41: MAUT
- Lecture 42: MAUT
- Lecture 43: MAUT
- Lecture 44: multi-objective optimization
- Lecture 45: reliability based optimization
- Lecture 46: Optimization
- Lecture 47: Goal programming
- Lecture 48: GERT
- Lecture 49: Demand model
- Lecture 50: Bass model
- Lecture 51: GERT
- Lecture 52: GERT
- Lecture 53: GERT
- Lecture 54: AIS
- Lecture 55: AIS
- Lecture 56: AIS
- Lecture 57: AIS
- Lecture 58: ANN
- Lecture 59: Metaheuristics techniques
- Lecture 60: General Concepts