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Marketing Data Science with Python

Overall Goal: Create a model to identify the customers more likely to accept offers.

Scope:

1) Identify and justify statistically what is the best approach for our problem (classification -i.e. will accept or not-, regression – i.e. the ones that will leave more $-, or expected value -i.e. a x b). At the end our objective is the revenue (we prefer one customer using our product for $1000 than 10 customers using it for $80 for example)

2) Identify and justify the selection of the best model as well as the selection of the best features to be used (our dataset contains +300 features, we expect to end up with 5 to 8)

The work must be presented in a python notebook, with comments and proper justification (ideally statistically)

Challenge:

We have 3 previous campaigns results where we used a custom model. Using the output of this model will possibly bias the new model, for that we have executed a control group in our full customers ‘universe for which we also have the results. The data scientist should define a strategy indicating best way to maximize all the results we have.

Kemahiran: Machine Learning (ML), Python, Statistik

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Tentang Majikan:
( 0 ulasan ) Dallas, United States

ID Projek: #23419841

42 pekerja bebas membida secara purata $2242 untuk pekerjaan ini

proffesor1

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$5000 USD dalam 60 hari
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6.9
shivampanchal

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$2250 USD dalam 7 hari
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7.0
schoudhary1553

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$1800 USD dalam 10 hari
(50 Ulasan)
6.3
williams115

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$2250 USD dalam 7 hari
(38 Ulasan)
5.9
artkulak

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5.8
nkoutroumpinis

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malimasood

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vorasiddh4it

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seniorweb2019

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Valuesolutions

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hemantjhalani

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cyash61

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2.9