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.
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 📫
A collection of open-source AI-powered marketing tools for modern marketing teams.
Streamlit Campaign Dashboard is an intuitive and customizable tool to analyze and monitor campaign performance.
Marketing analytics analysis and exercises done in Python
Attributing client side user events to Pinpoint Journeys
A Data Science project for Marketing Campaign Analysis
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.
CRISP DM implementation for bank marketing data.
Mirror of Apache OFBiz Framework
Analyzing Portugal bank marketing campaigns results
This project presents the target personas for a new Marketing campaign.
Optimized Air France's online advertising campaigns using advanced regression modeling and data analysis, uncovering actionable insights to maximize ROI and enhance ad performance.
Classification model to predict if the client will subscribe to a term deposit based on the given bank dataset
React-based frontend for the CRM system, integrated with Spring Boot and MongoDB backend. Supports Google OAuth login, customer and campaign management, and responsive UI for seamless CRM operations.
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