Showcase for using H2O and R for scoring for marketing campaign in retail
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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.
Creating marketing campaigns using rich text editor 📫
End-to-end marketing and business analysis projects utilizing machine learning and statistical analysis techniques using the R programming language.
Attributing client side user events to Pinpoint Journeys
Analyzing Portugal bank marketing campaigns results
Streamlit Campaign Dashboard is an intuitive and customizable tool to analyze and monitor campaign performance.
Marketing analytics analysis and exercises done in Python
This collection features projects that demonstrate my ability to analyze, visualize, and draw insights from publicly available datasets. Topics range from socioeconomic research to policy impact analysis, using tools like Python, pandas, seaborn, and matplotlib.
A Data Science project for Marketing Campaign Analysis
Optimized Air France's online advertising campaigns using advanced regression modeling and data analysis, uncovering actionable insights to maximize ROI and enhance ad performance.
DeFi CMO
AB testing fror made up fashion E-Commerce company ChicBeads [Python, Tableau]
Convert Adobe analytics campaign URL parameter to Matomo or Google Analytics format
Classification model to predict if the client will subscribe to a term deposit based on the given bank dataset
Mirror of Apache OFBiz Framework
This project presents the target personas for a new Marketing campaign.
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."