Fabric Data Science Cust churn scenario - when a customer will stop doing business with the bank.

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  • čas přidán 26. 08. 2024
  • The Synapse Data Science software as a service (SaaS) experience in Microsoft Fabric can help machine learning professionals build, deploy, and operationalize their machine learning models in a single analytics platform, while collaborating with other key roles. This article describes both the capabilities of the Synapse Data Science experience, and how machine learning models can address common business problems.
    Join us in this Fabric Espresso episode as Amir and Estera discuss the customer churn scenario - predict when a bank customer will stop doing business with the bank.
    🎙 Meet the Speakers:
    👤 Guest Expert: Amir H. Jafari, PhD, Senior Product Manager | Fabric Data Science
    LinkedIn: / ahjafari
    👤 Host: Estera Kot, PhD, Principal Product Manager at Microsoft.
    LinkedIn: / esterakot
    Twitter: / estera_kot
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    🔔 Stay Updated: Subscribe to our channel for the latest in Microsoft Fabric Data Engineering, Data Science, and groundbreaking tech. Hit the notification bell to never miss out on the Fabric Espresso series!

Komentáře • 2

  • @1277marina1277
    @1277marina1277 Před 5 měsíci +1

    Good video, but what is missing is production deployment and actual prediction for a particular client. You covered only analytics portion which could be easily done without ML model

  • @andresfelipehiguera785
    @andresfelipehiguera785 Před 4 měsíci

    How to use the model you created programmatically in production? churn-calculator (that use the API), for example.