Showcase for using H2O and R for scoring for marketing campaign in retail
-
Updated
Aug 26, 2018 - R
Showcase for using H2O and R for scoring for marketing campaign in retail
Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
Mined data from Twitter and classify the users based on their locations and preferences to target them through marketing campaigns.
End-to-end marketing and business analysis projects utilizing machine learning and statistical analysis techniques using the R programming language.
Creating marketing campaigns using rich text editor 📫
Attributing client side user events to Pinpoint Journeys
Analyzing Portugal bank marketing campaigns results
Marketing analytics analysis and exercises done in Python
DeFi CMO
AB testing fror made up fashion E-Commerce company ChicBeads [Python, Tableau]
Classification model to predict if the client will subscribe to a term deposit based on the given bank dataset
Streamlit Campaign Dashboard is an intuitive and customizable tool to analyze and monitor campaign performance.
CRISP DM implementation for bank marketing data.
This project aims to identify and present the target personas for a new Marketing campaign.
Predicting if clients will subscribe to bank deposits from a marking campaign administered by a Portuguese Bank.
A Data Science project for Marketing Campaign Analysis
Mirror of Apache OFBiz Framework
Add a description, image, and links to the marketing-campaigns topic page so that developers can more easily learn about it.
To associate your repository with the marketing-campaigns topic, visit your repo's landing page and select "manage topics."