Mar 15–18, 2020

Hands-on data science with Python

Don Fox (Pragmatic Institute)
9:00am—5:00pm
Sunday, March 15—Monday, March 16
Location: 211 D

Participants should plan to attend both days of training course. Note: to attend training courses, you must be registered for a Platinum or Training pass; does not include access to tutorials on Monday.

You'll walk through all the steps—from prototyping to production—of developing a machine learning pipeline. After looking at data cleaning, feature engineering, model building and evaluation, and deployment, you'll extend these models into two applications from real-world datasets. All your work will be done in Python.

What you'll learn, and how you can apply it

By the end of this two-day training course, you'll understand:

  • The basics of machine learning, feature engineering, anomaly detection, and recommendation engines
  • The fundamentals of scikit-learn

And you'll be able to:

  • Create machine learning processes with scikit-learn
  • Evaluate machine learning applications to real-world problems

Who is this presentation for?

Data scientists or analysts

Level

Intermediate

Prerequisites:

  • A basic understanding of Python
  • Familiarity with pandas (useful but not required)

Hardware and/or installation requirements:

  • A laptop

Outline

  • Data cleaning
  • Feature engineering
  • Model building and evaluation
  • Deployment

About your instructor

Photo of Don Fox

Don Fox data scientist in residence in Boston for The Data Incubator. Previously, Don developed numerical models for a geothermal energy startup. Born and raised in South Texas, Don has a PhD in chemical engineering, where he researched renewable energy systems and developed computational tools to analyze the performance of these systems.

Conference registration

Get the Platinum pass or the Training pass to add this course to your package. Early Price ends February 7.

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