xieliaing/Data_Science_Industrial_Practice
《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。
This project helps data professionals understand and model customer behavior, design and analyze A/B experiments, and explore advanced data science techniques. It takes raw user interaction data and business problems as input, providing insights into user choices, behavior patterns, customer lifetime value, and the effectiveness of different business strategies. It's designed for data scientists, product managers, and business analysts who want to apply data science methods to real-world business challenges.
150 stars. No commits in the last 6 months.
Use this if you need to analyze user behavior, predict customer lifetime value, understand causal relationships from observational data, or design and interpret A/B tests to inform business decisions.
Not ideal if you are looking for a plug-and-play software tool, as this provides educational materials and code examples rather than a finished application.
Stars
150
Forks
70
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jun 18, 2021
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0
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