--- tags: ResBaz2021 --- # Machine Learning with Scikit-Learn ## Friday, May 21st, 2021 10\:00-12\:00 [Back to Resbaz HackMD Directory](https://hackmd.io/@ResBaz21/directory) 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. ## Getting Started 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. --- ## Introductions - 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! ## Questions and Answers In this section, you can post your questions and feel free to answer if you have it. Questions will be answered during or after the workshop. 1. Ask your question. - Here is an answer --- :::info **Session Feedback :mega:** Use the link below to provide your feedback on the session: [**Session Feedback Form**](https://forms.gle/TrnJpr9qRBEKdnVVA) :::