Intro to Data Science  and Machine Learning Workshop
11

Saturday, 11 February

10 am – 4 pm CST

GA Austin, WeWork Congress

600 Congress Avenue, 14th Floor
Austin , TX 78701
$130 USD
Regular Ticket
$130 USD
Total

Questions? Read our FAQs

Intro to Data Science and Machine Learning Workshop

Ricky Hennessy Photo


Data Scientist, Frog

11

Saturday, 11 February

10 am – 4 pm CST

GA Austin, WeWork Congress

600 Congress Avenue, 14th Floor
Austin , TX 78701
$130 USD
Regular Ticket
$130 USD
Total

Questions? Read our FAQs

About This Workshop

This workshop will introduce students to data exploration and machine learning techniques. Students will learn about the data science workflow and will practice exploring and visualizing data using Python and built in libraries. Students will also explore the differences between supervised and unsupervised learning techniques and practice creating predictive regression models.

A background in computer science, programming, and/or statistics is preferred for this workshop. It is not required but you are expected to be somewhat familiar with the command line tools and how to write simple programs.

Takeaways

PART I: Data Exploration

-Understand course contents and structure -Describe the data mining workflow and the key traits of a successful data scientist. -Extract, format, and preprocess data using UNIX command-line tools. -Explore and visualize data using Python and ggplot2.

PART II: Intro to Machine Learning

-Explain the concepts and applications of supervised & unsupervised learning techniques. -Describe categorical and continuous feature spaces, including examples and techniques for each. -Discuss the purpose of machine learning and the interpretation of predictive modeling results.

Prereqs & Preparation

Please bring a laptop (not a tablet) for this class.

About the Instructor

Ricky Hennessy Photo

Data Scientist,
Frog

Ricky is a Data Scientist at frog, a global strategy and design agency. He has experience working with clients in the defense, financial, professional sports, and retail industries. Ricky holds a Ph.D. in biomedical engineering from UT Austin where he gained expertise in scientific research, machine learning, algorithm development, and data analysis. At frog, he works on multidisciplinary teams to design and prototype data driven products and help clients craft intelligent data strategies.

Refund Policy

Plans change. We get it. But if you can't make it to a class/workshop, please email us at least 7 days before the scheduled event date. No refunds will be given after this timeframe.

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