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Introduction
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Classroom Contents
Data Analytics Explained for Business Leaders
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- 1 Introduction
- 2 Data Science
- 3 Where Do You Stand
- 4 Regression
- 5 Limitations of Regression
- 6 Linear Programming
- 7 Nonlinear Programming
- 8 Decision Trees
- 9 KNearest Neighbor
- 10 Value Potential
- 11 Clustering
- 12 Ensemble
- 13 Ensemble Regression
- 14 Adaboost
- 15 SVM
- 16 Neural Networks
- 17 Deep Learning
- 18 Deep Learning Competition
- 19 Data Science Operationally
- 20 Do I Create Value
- 21 Scale Stock Price
- 22 The Plot
- 23 The Role of Intuition
- 24 Google Maps
- 25 Recap
- 26 Thank You
- 27 Voodoo Math
- 28 Tools
- 29 Screen Sharing
- 30 Crystal Reports
- 31 OpenRefine
- 32 Resources
- 33 Hot Topics
