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This workshop assumes that you know close to nothing about Machine Learning. Its goal is to introduce you to the concepts, tools, and intuition you need to implement programs capable of learning from data.
We will cover a few techniques, from the simplest and most commonly used Linear Regression to Decision Trees and Random Forests.
Rather than implementing our own toy versions of each algorithm, we will be using Scikit-Learn which is very easy to use, yet it implements many Machine Learning algorithms efficiently, so it makes for a great entry point to learning Machine Learning.
I have prepared a couple notebooks for this workshop. You have access to these notebooks on my GitHub page: https://github.com/rehsani/ResBazAZ2021
You can run these notebooks either on your local machine or on Google Colab.
Reza Ehsani, University of Arizona - Department of Hydrology and Atmospheric Sciences, PhD Student, Email: rehsani@email.arizona.edu, LinkedIn: https://www.linkedin.com/in/rehsani/, GitHub: https://github.com/rehsani
It's your time!
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