GitHub / pyhtonman0101 / Email-Campaign-Effectiveness-Prediction
The ultimate goal is to develop a machine learning model that can categorize and track emails based on reader actions such as ignoring, reading, or acknowledging them.
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PURL: pkg:github/pyhtonman0101/Email-Campaign-Effectiveness-Prediction
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 2.14 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: about 2 years ago
Pushed at: over 2 years ago
Last synced at: almost 2 years ago
Topics: classification-algorithm, data-handling, exploratory-data-analysis, feature-engineering, xgboost-algorithm