Date Oct 4, 2023, 4:30 pm – 6:00 pm Location RSVP on My PrincetonU to see location Related link More details in My PrincetonU Share on X Share on Facebook Share on LinkedIn Details Event Description This workshop provides an introduction to machine learning using Python. Participants will use Scikit-Learn, Pandas and Matplotlib to solve machine learning problems using supervised learning techniques. Workshop format: Presentation with hands-on exercises. Target audience: This workshop is for those with no experience with machine learning. The material is appropriate for undergraduates students and above. Knowledge prerequisites: Some experience with Python and knowledge of basic calculus. Hardware/software prerequisites: For this workshop, users must have an account on our Adroit cluster, and they should confirm that they can SSH into Adroit at least a few hours beforehand. Details on all of the above can be found in this guide: https://bit.ly/3QER9Sv Learning objectives: Participants will come away with the ability to train machine learning models on simple data sets. Accessibility To request accommodations for this or any event, please contact the organizer or James M. Van Wyck at least 3 working days prior to the event. Upcoming Professional Development Events Nov 3 LaTeX Drop-in Consultations Nov 4 RNASeq and Single Cell Sequencing (11/4 and 11/5) Nov 5 Crafternoon: Create a Beaded Keychain Nov 5 RNASeq and Single Cell Sequencing (11/4 and 11/5) Nov 6 FASPE Fellowship Information Session Nov 6 Data Visualization with R - Introduction to ggplot Nov 6 ReMatch: Meal for Mentoring Nov 7 Princeton Python User Group Monthly Meeting (Nov 2024) View All Events