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I recently started working as a data scientist in one company and they require me to do prescriptive statistics there. What they want me to do is find/prescribe rational values for some products that will reduce the cost of an action X. I use Python and I've never worked as a prescriptive engineer before so I need to find a course that will make me learn the things. I know some algorithms used for optimization, mostly for constraint based optimizations, like simplex method, simulated annealing, particle swarm optimization, karmarkar's algortihm etc. but I'd like to learn more.
If anyone knows a good course or a tutorial about prescriptive statistics with good examples, please do let me know.
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- 1 year ago
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