Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
| Date | Stars |
|---|---|
| 2026-07-31 | 321 |
| 2026-08-02 | 321 |
| 2026-08-06 | 322 |
| 2026-08-12 | 323 |
| 2026-08-13 | 323 |
| 2026-08-18 | 323 |
| 2026-09-04 | 322 |
| 2026-09-08 | 322 |
| 2026-09-20 | 322 |
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# CUSTOMER-SEGMENTATION Creating customer segments for a financial services firm using K-means Algorithm. A variety of products, including mutual funds and exchange traded funds, are available for investors in the equities and bond markets from ABC, a relatively young provider of financial services. The financial services sector is predicted to develop significantly, at a compound annual growth rate of 20%, according to market research conducted by the management team. According to their research, challenger banks—new banks that compete with older, more established incumbents—are becoming increasingly popular with consumers. This has been especially true in North America and Western Europe, where millennials have shown a preference for banks like Monzo and Starling. The group has also acknowledged the rise in the significance of AI and machine learning. The ABC team wants to investigate the company's array of services and gain a better grasp of their current clientele with the help of this market study. The team also wants to find out whether there is a sizable prospective consumer base that they could focus on.
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5d78449a2d994920, llm:Description: 'Analytics and data science business case studies... Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).'
matched fp:5d78449a2d994920, llm:Description: 'Analytics and data science business case studies... Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).'