Getting Started with Fabric Data Science DP-604
DP-604

Getting Started with Fabric Data Science DP-604

Michael Lively Michael Lively

Michael Lively

QuantumAI Founder - Innovator, Builder, Technology Evangelist | GenAI Researcher | Prompt Engineer | Technology Manager | QA Architect | DevOps Engineer | Cloud Architect | Data Scientist | PMI-ACP | MCT

发布日期: 2024年8月28日
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Here are the slides to the DP-604 Fabric Data Science course I presented on 8/21.

Join us for an exciting and informative meetup where we dive into the essentials of Microsoft Fabric—a revolutionary platform that empowers data scientists to seamlessly manage data, notebooks, experiments, and models all in one place!


Upcoming Events


Mike's Bio


3 Big Stars


Companion Site


Labs


High Efficiency


Ice Breaker


Intro to Data Science in Fabric


Many Applications


Fabric Ecosphere


DP-600 Exam Prep


Data Science Selection


4 Big Uses of Data Science


Data Science Flow


Data Science Flow


Create Your Notebook


Note Book Elements


Data Wrangler


Getting Started with Labs


Diabetes Data Set


Lab Flow


Lab Link


Questions


Question Answers


Notebooks


Notebook Anatomy


Snippet Demo


Distributions


Correlation Chart


Lab 2 Flow


Lab 2 Link


Questions


Question Answers


Wangler


Wrangler Functions


Missing Data


One-Hot Encoding


Min-Max Scaling


Financial Data


Lab Flow


Lab Flow Continue


Lab Link


Quetinos


Question Answers


MLFlow


Cycle of Training a Model


Cycle of Training a Model


Training Demo


Lab Flow


Lab Flow Part 2


Lab Link


Questions


Questions Answers


Batch Prediction


Customize Model Behavior


Lab Flow


Dragging Component to Code


Lab 5 Link


Questions


Questions Answers


What You Learned!


Thx




Koenraad Block

Founder @ Bridge2IT +32 471 26 11 22 | Business Analyst @ Carrefour Finance

3 个月

"Getting Started with Fabric Data Science DP-604" provides an essential guide to beginning your journey with Microsoft Fabric’s Data Science course. Very useful for learners who want to build a strong foundation in data science and leverage the powerful tools offered by Microsoft Fabric! ??????

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