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Unlocking Data Science and Machine Learning in Just One Hour

 
Date: October 31, 2024
Time: 1:00 - 2:00PM ET
Presenter: Kevin Clements
Category: Data Science

Curious about Data Science and Machine Learning but don't know where to start? Join us for a free webinar that cuts through the jargon and provides a clear, accessible introduction to these exciting fields. In this 1-hour session, attendees explore the typical data science workflow and gain an introduction to popular Python libraries through demonstrations with real-world datasets. Join us as data science/ML expert and seasoned trainer, Kevin Clements, guides you through:

  • What data science is and how it's used to extract insights and knowledge from data.
  • The core concepts of machine learning, including different types of algorithms and their applications.
  • The typical data science workflow, from collecting and cleaning data to building and evaluating models.
  • A live demonstration with popular Python libraries like Pandas and Scikit-learn, essential tools for any aspiring data scientist.
  • Real-world examples of data science and machine learning in action, demonstrating the power of these techniques.

At the conclusion, Kevin will answer your questions.

Who Should Attend?

This webinar is designed for beginners with little to no prior experience in data science or machine learning. If you're curious about these fields and want to see what they're all about, this session is perfect for you. You'll leave with a solid understanding of the fundamentals and a taste of what's possible with data science and Python.

About the Presenter, Kevin Clements

As the CEO of Claremont AI, Kevin Clements brings over 35 years of experience in the technology and communications sectors. For nearly three decades, he has empowered organizations of all sizes to streamline their requirements, develop efficient strategies, and implement effective software solutions. According to CFODive, 28% of organizations in the US are using Generative AI tools like ChatGPT to deal with the increasing complexity of data store systems and increase productivity. Kevin recognizes the critical role of Data Science and Machine Learning tools in modern data management practices. His decade of expertise in this area ensures that clients receive tailored solutions that drive success in a rapidly evolving landscape.

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