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This case requires to develop a customer segmentation to give recommendations like saving plans, loans, wealth management, etc. on target customer groups.
The sample Dataset summarizes the usage behavior of about 9000 active credit card holders during the last 6 months. The file is at a customer level with 18 behavioral variables.
SP
count 2943.000000
mean 2372.644913
std 977.094492
min 1022.580017
25% 1547.070007
50% 2109.409912
75% 2900.479980
max 4793.540039
Maximum Benefit : 1715.0
In this case study, Prediction modeling was done with Multivariate regression.
Click on the calculate button to see the portfolio return result!
Result:
As an example, downloading financial data from Yahoo Finance and investing.com via Python for company A is shown.
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