FelistaMuganda / Predicting-the-Success-of-a-Bank-Marketing-Campaign Public

Notifications You must be signed in to change notification settings
Fork 0
Star 2

Business Value: Advice bank on best customer profile to target, to ensure successful subscription to a new product through a marketing campaign.

2 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Bank Analysis Problem Solving.R		Bank Analysis Problem Solving.R
Keynote - Bank Telemarketing Campaign Analysis.pptx		Keynote - Bank Telemarketing Campaign Analysis.pptx
Prediction of Marketing Campaign Subscription Rate.ipynb		Prediction of Marketing Campaign Subscription Rate.ipynb
README.md		README.md

Repository files navigation

Predicting Subscription to Bank Marketting Campaign - python,

Packages used: Numpy, Pandas, scikit -learn,matplotlib, seaborn

Data Mining Technique : logistic regression

About

Business Value: Advice bank on best customer profile to target, to ensure successful subscription to a new product through a marketing campaign.

python numpy pandas-dataframe scikit-learn jupyter-notebook logistic-regression sqldf rprogramming marketing-analytics matplotlib-pyplot seaborn-plots

Report repository

Releases

No releases published

Packages

No packages published

Languages