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10 Best CrewAI Projects You Must Build in 2025

ProjectPro

The CrewAI framework has gained significant traction in the AI community, with a growing ecosystem of projects, templates, and resources. One of the primary motivations for individuals searching for "crew ai projects" is to find practical examples and templates that can serve as starting points for building their own AI applications.

Project 70
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Build Better Data Pipelines with SQL and Python in Snowflake

Snowflake

As the core building blocks of any effective data strategy, these transformations are crucial for constructing robust and scalable data pipelines. Today, we're excited to announce the latest product advancements in Snowflake to build and orchestrate data pipelines. The resulting data can be queried by any Iceberg engine.

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7 Autogen Projects to Build Multi-Agent Systems

ProjectPro

That’s how Yaron Been describes his use of Microsoft’s AutoGen for building multi-agent applications that collaborate, iterate, and execute tasks together in one of his recent LinkedIn posts. In this blog, we’ll explore 7 AutoGen project ideas that are perfect for getting started, with a focus on real-world problem-solving.

Systems 40
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How to Build an End-to-End Machine Learning Project?

ProjectPro

Managing an end-to-end ML project isn't just about building models; it involves navigating through multiple stages, such as identifying the right problem, sourcing and cleaning data, developing a reliable model, and deploying it effectively. This statistic underscores the importance of clearly defining the problem at the outset.

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The Definitive Guide to Embedded Analytics

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. We hope this guide will transform how you build value for your products with embedded analytics. Access the Definitive Guide for a one-stop-shop for planning your application’s future in data.

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PyTorch vs TensorFlow 2025-A Head-to-Head Comparison

ProjectPro

If you are new to machine learning , it means that you have been wheedled by this incredible field of study and its limitless possibilities of building applications that have never been implemented without human intervention, congratulations and welcome to the world of deep learning! vs Tensorflow 2.x x in 2021 What's New in TensorFlow 2.x

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How to Learn Math for Data Science: A Roadmap for Beginners

KDnuggets

Almost all of the math you need for data science builds on concepts you already know. Build a simple linear regression using only matrix operations. In data science projects, youll work with derivatives and optimization for the most part. Such hands-on practice builds intuition that no amount of theory can provide.