Python Project - Optimize Marketing Campaigns | Regression and Correlation Analysis

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Learn how to discover which marketing tactics have the most significant effect on your sales with this easy to apply Python project. You will learn how to develop a linear regression model and identify which variables are significant.

Find the Collab notebook here:

Find the dataset here:

#marketing
#python
#dataanalysis
#datascience
  1. Absent Data
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Комментарии
Автор

Nice intro project man! This was my first linear regression problem solved in python. Up until now, I've been doing everything in excel. I appreciate the video!

HakeemLawrence
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Thank you so much for the video! Incredibly useful, well-made and not boring at all.

PaoloCondo
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This is a great video!
I have some follow up questions
1. Is there a way to find out the interwine effect of multiple campaigns? How do I prove that multiple campaigns will drive better results than one alone? For example, phone + email is better than phone alone.
2. How do I make budget allocation recommendations based off of this analysis? For example, what's the ideal percentage split for each campaign type?

sherryzhou
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From what source did you get this dataset?

muhammadnoman
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nice demonstration! good work! but I was wondering what if it was not a linear function? for example, what if you had a xgboost regression instead of a linear regression? how would you formulate your objective function?

stephaniavellinho
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Very much appreciated. Can you please state the problem more clearly?

im
Автор

Very badly explained. Couldn't understand the meaning of some variables because there is no explanation on them.

THEMRblackboythst