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When & Where
Date: 
Wed, June 24, 2020 - 1:00 PM to 4:00 PM
Location: 
Remote (Zoom link below)
Description
Type: 
Zoom Link
To obtain the Zoom link for this workshop please click the link below:
 
After re-registering on the Zoom website, you will receive a confirmation email containing information about joining the meeting.
If you already have and use a Zoom account, please sign into it first, before trying to access the D-Lab workshop.
If you have questions or problems with Zoom, please email: dlab-frontdesk@berkeley.edu
 
Overview

This workshop introduces students to scikit-learn, the popular machine learning library in Python, as well as the auto-ML library built on top of scikit-learn, TPOT. The focus will be on scikit-learn syntax and available tools to apply machine learning algorithms to datasets.

Prior knowledge: We will assume a basic knowledge of Python and a basic understanding of machine learning techniques. No theory instruction will be provided.

Tech requirement: Laptop required. Please make sure Python 3 is installed, as well as the following packages:

  • scikit-learn
  • jupyter
  • tpot
Primary Tool: 
Python
Details
Training Host: 
Format Detail: 
Remote, hands-on, interactive
Participant Technology Requirement: 
Laptop, Internet connection, Zoom account

Beginner

Designed for those who have no experience and are just beginning their coding, tool or method journey.

Examples: Programming Fundamentals, Git Fundamentals, Stata Fundamentals, R Fundamentals, Python Fundamentals, Basics of Excel, Tableau Fundamentals

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