30lm32/ml-projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
This project helps marketers and product managers understand how changes to their website or app impact user behavior. By comparing different versions of a landing page, for instance, it takes in user interaction data and identifies which version performs better based on conversion rates. This allows for data-driven decisions on design or content changes.
293 stars. No commits in the last 6 months.
Use this if you need to scientifically test and measure the impact of different versions of a product feature, marketing campaign, or website design on user actions like conversions.
Not ideal if you're looking for a broad suite of pre-built, one-click analysis tools for various business problems, as this provides examples for developers to adapt.
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Last pushed
Dec 15, 2020
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