Turn Prediction Stories into Live Projects
Автор: ecosystem Ai
Загружено: 2025-09-05
Просмотров: 34
In this detailed tutorial, we demonstrate how to use the ecosystem.Ai Workbench to set up and deploy a machine learning project for a credit card activation use case. Ramsey guides you through mapping a prediction story onto the ML canvas, configuring data sources, setting up dynamic recommenders, and deploying models.
Learn the step-by-step process from preparing data, creating a project container, enriching datasets, generating customer personality traits, and enabling dynamic recommendations to activate credit cards. This video also covers feature store setup, project versioning, API testing, and simulating customer interactions. Ideal for users interested in practical applications of machine learning within banking.
00:29 Understanding the Use Case: Credit Card Activation
01:30 Mapping the Use Case to the ML Canvas
01:53 Setting Up the Project in the Workbench
06:09 Data Collection and Feature Engineering
12:35 Dynamic vs. Static Models
16:13 Building and Deploying the Dynamic Recommender
24:36 Versioning and Project Management
33:58 Simulations and Testing
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