Machine Learning w/ March Madness Data

with
This account is verified by The Amphy Team for meeting quality standards of excellence.
Verified teacher
FavoriteFavorite
ShareShare
Send as giftSend as gift
60 min
Private Course
From

Want to learn to build machine learning models with real-life data? Join me as we make predictions on the NCAA March Madness games.


What you'll learn

Have you ever wanted to learn machine learning using real-world data? Our online class is perfect for you! We use the March Madness dataset to give you a hands-on introduction to machine learning. You'll explore the data, develop models to predict winning teams, and understand player evaluations. Our program gives you the knowledge and confidence to build your own algorithms for any situation.


What to bring

Internet access and a computer/laptop.
Tickets
Private sessionUp to 1 seats
Private sessionUp to 1 seats

Get reimbursed

Want your employer to cover the cost?
Fill out the form and submit your reimbursement request.

Learn ,data-science.deep-learning-and-machine-learning, with Uohna T | Amphy
This account is verified by The Amphy Team for meeting quality standards of excellence.

Uohna Thiessen, Ph.D.

Your teacher

Uohna Thiessen, Ph.D., is a consultant data scientist at Accenture in AdTech practice, working with one of the top-performing corporate tech companies (MAANG). She teaches statistics, quantitative analysis, data science, and machine learning at various U.S. institutions, including the California Institute of Technology and the Flatiron School in NYC. Machine learning models she developed in sectors such as medicine, advertising, and financial technology were designed in R, Python, and SPSS, as well as MS Azure, Google TensorFlow, and Apache PySpark. Uohna holds a Ph.D. in Epidemiology (biostatistics concentration) from Walden University and a B.Sc in biochemistry from Oakwood University. She is certified in Cloud computing and machine learning engineering through Google (GCP) and Microsoft (Azure). Dr. Uohna Thiessen is a data scientist and data science educator whose mission is to provide access to data science education to as many people as possible.










































How to participate

how to instruction

Choose a time that suits your schedule.

how to instruction

Connect on Zoom from your email or ‘My Bookings’ page.

how to instruction

Help the community by sharing your experience.