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Machine Learning Fundamentals in Practice Online
In this follow-on workshop, participants will apply the concepts introduced in "AI and Machine Learning - Beyond the Basics", through guided, hands-on exercises using a Python Jupyter Notebook. Participants will explore two fundamental supervised learning tasks -classification and regression using real datasets, train models, evaluate their performance, and interpret the results.
Registered participants will receive a link to the Jupyter Notebook, where they can practice, experiment, and explore the complete machine learning pipeline at their own pace. The interactive notebook enables students to modify code, test different parameters, compare model performance, and gain practical experience with the end-to-end machine learning workflow in a supportive, hands-on environment.
Duration: 60 min
Prerequisites: Basic knowledge of python programming and machine learning concepts
- Date:
- Friday, October 2, 2026
- Time:
- 10:05am - 11:05am
- Time Zone:
- Eastern Time - US & Canada (change)
- Presenter:
- Vandana Srivastava
- Sponsor:
- Digital Research Services
- Audience:
- Some Familiarity with the Topic
- Categories:
- Artificial Intelligence SHARPGrads Elective
- Online:
- This is an online event. Event URL will be sent via registration email.