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Microsoft Fabric for Python Developers, Eren Orbey
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Python Data Science Day: Comprehensive Workshop on Data Analysis and AI Technologies
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- 1 Welcome to Python Data Science Day ⚡
- 2 Microsoft Fabric for Data Science, Jasmine Greenaway and Ismaël Mejía⚡
- 3 Revolutionizing Data Science Workflows, Sumukh M G ⚡
- 4 RAG using Semantic Kernel with Azure OpenAI and Azure Cosmos DB for MongoDB vCore, John Aziz
- 5 Simplifying Data Analysis & Visualization for non-Python devs with AI, Nitya Narasimhan PhD
- 6 Getting started with Python using Data Wrangler in Microsoft Fabric, Sandeep Pawar ⚡
- 7 Buddy Driven Development, Bethany Jepchumba ⚡
- 8 Supercharging your Data Science projects with GitHub tools, Carlotta Castelluccio
- 9 Streamlining Data Preparation with Pydantic: A 25-minute Guide, Hasan Özdemir
- 10 Level Up Your ML Game: Building Models like a Pro with Microsoft Fabric's Synapse, Vinayak Gavariya ⚡
- 11 Python Data Science Skilling - Cloud Skills Challenge, Aaron Stark ⚡
- 12 Dog vs Cat Classification Using Convolution Neural Network, Jyothi Swaroop Makena
- 13 FoodFighters Introduce the Foodwaste Hack, Alex Dean, Allgeier Schweiz
- 14 Microsoft Fabric Hackathon Project Overview - AP Payment Prediction, Andrew Boerger and Mark Behne
- 15 Beyond Keywords: Image similarity search in Azure Cosmos DB for PostgreSQL, Foteini Savvidou ⚡
- 16 Data Wrangler, Jeffrey Mew ⚡
- 17 Microsoft Fabric for Python Developers, Eren Orbey
- 18 Automated evaluation of LLM apps with the azure-ai-generative SDK, Pamela Fox
- 19 Analytics Solution over Document Repository with Microsoft Fabric and Azure OpenAI ⚡
- 20 PIInovators Demo ⚡
- 21 Application of Azure Computer Vision OCR Service in Extracting Text for NLP, Theophilus Owiti
- 22 Empowering Data-Driven Innovation: A Journey through Real-World Applications, Abdullah Awan
- 23 Breaking Data Silos with Semantic Link in Microsoft Fabric, Sandeep Pawar
- 24 Data Science: The Bear* Necessities, Renee Noble
