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Python random forest
4.0
Application background Data & nbsp; within two months of 40000 customers 15 data field & nbsp; including customers & nbsp; & nbsp; & nbsp; & nbsp; & nbsp; a position, occupation, rank, annual income.. purchased products.Objective: to recommend a product that is suitable for the customer, and to recommend the purchase of the product.Data processing ; describe; , , , , ,, , , ,, ,, -1, , , , , , , ,,, ,,, data normalization: eg: zip code similarity is not high according to the second tier line... The importance of dividing Key Technology Feature selection random forest: the importance of judging features: thinking about why the importance of high AHP; ;Model selection : according to the amount of data, whether there i
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