Showing 1 open source project for "python feature selection"

View related business solutions
  • ManageEngine ADAudit Plus | A UBA-driven change auditor Icon
    ManageEngine ADAudit Plus | A UBA-driven change auditor

    ADAudit Plus helps keep your Active Directory, file servers, Windows servers and workstations secure and compliant.

    ADAudit Plus helps keep your Windows Server ecosystem secure and compliant by providing full visibility into all activities. ADAudit Plus provides a clear picture of all changes made to your AD resources including AD objects and their attributes, group policy, and more.
    Learn More
  • Patch Management and Vulnerability Remediation Software | Action1 Icon
    Patch Management and Vulnerability Remediation Software | Action1

    Enable IT security and operations teams to detect, prioritize, and remediate vulnerabilities to ensure continuous compliance – all while reducing cost

    Action1 reinvents patching with an infinitely scalable, highly secure, cloud-native platform configurable in 5 minutes — it just works and is always free for the first 100 endpoints, with no functional limits. Featuring unified OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment with no VPN needed, it enables autonomous endpoint management that preempts ransomware and security risks, all while eliminating costly routine labor. Trusted by thousands of enterprises managing millions of endpoints globally, Action1 is certified for SOC 2 and ISO 27001.
    Learn More
  • 1
    Generative AI for Beginners (Version 3)

    Generative AI for Beginners (Version 3)

    21 Lessons, Get Started Building with Generative AI

    Generative AI for Beginners is a 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building generative AI applications in a practical, project-oriented way. Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development practices and UX for AI. It also walks through modern application techniques such as function calling, RAG with vector databases, working with open source models, agents, fine-tuning, and using SLMs. ...
    Downloads: 4 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next