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