Machine Learning w/ March Madness Data

with

Uohna Thiessen, Ph.D.

Verified teacher

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

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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.

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