As a Python newbie I have adapted some code I sourced to help me run a logistic regression for a probability of default model. When I look at the equation I get out of it, it does not seem to make sense (most of the resulting logits are so large that they give error results when I try to work out the exponent in excel. I get very different numbers when I plug the data set into SPSS (although there is not test/training split of the data in SPSS. What I am looking for is someone to spend an hour looking through the code for any errors, adding in additional code to show the calculated Logit, Probability of default and log likelihood so that I can sense check the numbers. Also Gini and WOE numbers would be good. I have enclosed a text file with the code I am using. I will provide an Excel file with the data when the project is awarded
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Hi, I used to work for a bank running logistic regression models so I can certainly help you. I can already see a couple of inconsistencies in the code. Regards David
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Hello! I'd like to help you with this probabilistic modelling assignment. I'm familiar with logistic regression as well mathematical statistics. I can do the job blazingly fast. Please, give me a try!
Hello. How are you. I'm software engineer and algorithm expert. I have many experiences in c, c++, c#, java, python, node.js. I can complete your project successfully. Thanks.
I'm data scientist and i have been working on machine learning,data analysis,visualization in python , may i can help you ,I'm waiting for your msg to discuss more, thanks