Python model to estimate the probability of credit card usage (Jupiter Notebook)
$10-30 USD
Terminado
Publicado hace más de 4 años
$10-30 USD
Pagado a la entrega
Create a model to estimate the probability of use the credit card, using max 50 variables.
It must be done using: Random Forest, Logistic Regression.
Sample database "[login to view URL]" with 7700 records and 397 variables.
The basis train can be: train 80% and test 20%
Target variable: FLG_ACTIVACION_0_12 (1 = used the card, 0 = not used).
Deliverable:
- Just Jupiter notebook file with comments and commands.
PD. I attach an example for xgBoost (jupiter notebook as example).
Hello sir !
I have an Engineer degree in Applied mathematical modelling , Economics, , Statistics with 9 years of professional experience working as a Quantitative Analyst (in the field of Statistics). .
I can start working now !
I'm waiting good news !!
My best regards
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3 freelancers están ofertando un promedio de $17 USD por este trabajo
Hi I am a mathematician. I have a strong knowledge in predicting results using numpy and sklearn frameworks.I have done a previous review with jupyter notebook where I had to ranking the performance of NBA players using jupyter notebook.