KevinLiao159/MyDataSciencePortfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
This collection of projects helps business stakeholders understand critical business metrics and user behavior. It provides examples of how to analyze data, such as customer transaction histories or blog post content, to generate insights like why customers leave or what topics are trending. Business analysts, product managers, and marketing professionals can use these examples to understand their customers better and inform strategic decisions.
405 stars. No commits in the last 6 months.
Use this if you are a business stakeholder or data professional looking for practical examples of how data science can solve common business problems like customer retention or content personalization.
Not ideal if you are looking for a ready-to-use software solution or a comprehensive, production-grade application.
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405
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225
Language
Jupyter Notebook
License
MIT
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Last pushed
Jul 05, 2020
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