└── README.md /README.md: -------------------------------------------------------------------------------- 1 | # Advanced Business Analytics and Mathematics 2 | ##### Programmatic Google Colab Notebook Series (2018-2023) 3 | 4 | if you have some ideas, get in touch, [@dereknow](https://twitter.com/dereknow?lang=en) 5 | 6 | -------------------- 7 | 8 | ### Risk Engineering 9 | 10 | #### Anomaly Detection 11 | 1. [Cross Sectional Multivariate Data](https://colab.research.google.com/drive/1rYcc05NI0MU5IReWgOADHr5R1J9kxnbW#scrollTo=whB7cEvdjC_M) 12 | 1. [Time Series Univariate](https://colab.research.google.com/drive/1rYcc05NI0MU5IReWgOADHr5R1J9kxnbW#scrollTo=5W0uuEqWMKBQ) 13 | 1. [Time Series Multi-variate Real Time](https://colab.research.google.com/drive/1rYcc05NI0MU5IReWgOADHr5R1J9kxnbW#scrollTo=yflg8pWYVoKp) 14 | 1. [Time Series Multi-variate](https://colab.research.google.com/drive/1rYcc05NI0MU5IReWgOADHr5R1J9kxnbW#scrollTo=yflg8pWYVoKp) 15 | #### Predictive Maintenance 16 | #### Financial Risk 17 | 18 | ### Decision Science 19 | 20 | #### Causal Analysis 21 | 1. [Causal Inference from Observational Data](https://drive.google.com/file/d/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2/view?usp=sharing) 22 | 1. [Causal Regressions](https://colab.research.google.com/drive/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2#scrollTo=lPGhJMFbH5BJ) 23 | 1. [Uplift Modelling](https://colab.research.google.com/drive/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2#scrollTo=WpXXNFbuIeWe) 24 | 1. [A/B Testing](https://colab.research.google.com/drive/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2#scrollTo=593TzsMzVquj) 25 | 1. [Frequentist](https://colab.research.google.com/drive/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2#scrollTo=2w8-8ZMPCzT0) 26 | 1. [Regression](https://colab.research.google.com/drive/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2#scrollTo=hejyQQ-CS93j) 27 | 1. [Bayesian](https://colab.research.google.com/drive/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2#scrollTo=NSBBCs8QfUIL) 28 | 1. [Causal Discovery](https://colab.research.google.com/drive/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2#scrollTo=SWM4ZLp4he6i) 29 | 30 | #### Operations Research 31 | 1. Convex Optimisation 32 | 1. [Optimal Advertising Problem](https://colab.research.google.com/drive/1qyiIt3JQpmQnzilVwQGU_G3b0_Rc2Xck) 33 | 1. [Linear Programming](https://drive.google.com/file/d/1l56ZmbDKez15vlAt8neGEZHYIagciRsI/view?usp=sharing) 34 | 1. [Production Models with Linear Constraints](https://colab.research.google.com/drive/1l56ZmbDKez15vlAt8neGEZHYIagciRsI#scrollTo=SRXossXvecIC) 35 | 1. [Linear Blending Problems](https://colab.research.google.com/drive/1l56ZmbDKez15vlAt8neGEZHYIagciRsI#scrollTo=J8jKI-LbfvQl) 36 | 1. [Task Allocation Problems](https://colab.research.google.com/drive/1l56ZmbDKez15vlAt8neGEZHYIagciRsI#scrollTo=kV1GH1r13ix6) 37 | 1. [Assignment and Scheduling](https://colab.research.google.com/drive/1KSewu262VvzPjgfq1Mgpv3t13WtBuzS_#scrollTo=ALeiPMX3Dulx) 38 | 1. [Multiple Criteria Decisions](https://colab.research.google.com/drive/1qA_xbKQl8xZH_oqXwjywkI8spiD2vgE2#scrollTo=SWM4ZLp4he6i) 39 | 1. [TOPSIS](https://colab.research.google.com/drive/1KSewu262VvzPjgfq1Mgpv3t13WtBuzS_#scrollTo=cPLWJzdU9N3v) 40 | 1. [SKCriteria](https://colab.research.google.com/drive/1KSewu262VvzPjgfq1Mgpv3t13WtBuzS_#scrollTo=JRmRHMlxYLVD) 41 | 1. [Goal Programming](https://colab.research.google.com/drive/1KSewu262VvzPjgfq1Mgpv3t13WtBuzS_#scrollTo=ALeiPMX3Dulx) 42 | 43 | 44 | ### Predictive Analytics 45 | 46 | #### Employee 47 | #### Customer 48 | 49 | ### Segmentation Research 50 | 51 | #### Clustering Problems 52 | --------------------------------------------------------------------------------