Skip to content

Details

### ML without Code, Predict!

Register Here: Click here to confirm seat

1 Year Free No Code Software License for Students! Supports coding for advanced users :)

Duration: 1.5 - 2 Hours + Q/A
Skill Level: Absolute Beginner

Workshop Description:
Curious about machine learning but don't know how to code? This workshop is for you. We will demystify the core concepts of ML and give you the hands-on experience of building a predictive model yourself. Using a user-friendly, drag-and-drop platform, we will work with a classic dataset to predict Boston house prices, making the power of machine learning accessible to everyone.
Join us to unlock the potential of data and take your first step into the world of predictive analytics.

Session Agenda:
ML Basics & Concepts: A simple, jargon-free introduction to what machine learning is and how it works.
Keywords Glossary: Learn the essential terms you need to know in a clear and concise way.
Hands-On Demo & Activity: Follow along as we build and interpret a real ML model together.
Next Steps & Resources: We'll provide you with all the tools and links you need to continue your learning journey after the workshop, including how to access software for continued practice.

What You'll Gain:
A clear understanding of fundamental machine learning principles.
The hands-on experience of building a predictive model.
The confidence to discuss ML concepts and explore further.
A resource guide to kickstart your ongoing education.

Who Should Attend?
This workshop is perfectly designed for students from all academic backgrounds who are:
Interested in data, AI, and the future of technology.
Looking to add in-demand skills to their resume.
Curious about machine learning but have no prior experience.
Exploring potential career paths in data and tech.

Prerequisites:
No background in math, statistics, or programming is required. Just bring your curiosity!

Badge: Yes

Contact us at: Team@uppowerbiclub.com

Website: Join Club

Artificial Intelligence
Machine Learning
Data Analytics
Data Science
Women in Technology

Members are also interested in