Workshop – R for Machine Learning: A Hands-On Introduction

Puran Bashir

6 years ago

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Monday, June 17, 2019 in Las Vegas

Full-day Workshop: 8:30am – 4:30pm

Intended Audience:
Practitioners who wish to learn how to execute on predictive analytics by way of the R language; anyone who wants “to turn ideas into software, quickly and faithfully.” Knowledge Level: Either hands-on experience with predictive modeling (without R) or both hands-on familiarity with any programming language (other than R) and basic conceptual knowledge about predictive modeling is sufficient background and preparation to participate in this workshop. The 2 1/2 hour “R Bootcamp” is recommended preparation for this workshop.

Workshop Description

This one-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. Real examples are employed in order to methodically expose attendees to best practices driving R and its rich set of predictive modeling (machine learning) packages, providing hands-on experience and know-how. R is compared to other data analysis platforms, and common pitfalls in using R are addressed. The instructor will guide attendees on hands-on execution with R, covering:

A working knowledge of the R system
The strengths and limitations of the R language
Preparing data with R, including splitting, resampling and variable creation
Developing predictive models with R, including the use of these machine learning methods: decision trees, ensemble methods, and others.
Visualization: Exploratory Data Analysis (EDA), and tools that persuade
Evaluating predictive models, including viewing lift curves, variable importance and avoiding overfitting

Hardware: Bring Your Own Laptop
Each workshop participant is required to bring their own laptop running Windows or OS X. The software used during this training program, R, is free and readily available for download. Attendees receive an electronic copy of the course materials and related R code at the conclusion of the workshop.

Schedule

Workshop starts at 8:30am
Morning Coffee Break at 10:30am – 11:00am
Lunch provided at 12:30pm – 1:15pm
Afternoon Coffee Break at 3:00pm – 3:30pm
End of the Workshop: 4:30pm

Coffee breaks and lunch are included.

Instructor

Brennan Lodge, Data Scientist VP, Goldman Sachs

Brennan is a self-proclaimed data nerd. He has been working in the financial industry for the past ten years and is striving to save the world with a little help from our machine friends. He has held cyber security, data scientist, and leadership roles at JP Morgan Chase, the Federal Reserve Bank of New York, Bloomberg, and Goldman Sachs. Brennan holds a Masters in Business Analytics from New York University and participates in the data science community with his non-profit pro-bono work at DataKind, and as a co-organizer for the NYU Data Science and Analytics Meetup. Brennan is also an instructor at the New York Data Science Academy and teaches data science courses in R and Python.