Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

In-Person Training
Hands-On Data Science with Python

Zachary Glassman (The Data Incubator)
9:00am–5:00pm Tuesday, 09/11/2018
Location: 1 E02

To attend a training course, you must be registered for a Platinum or Training pass; does not include access to tutorials on Tuesday.

The Data Incubator offers a foundation in building intelligent business applications using machine learning. We will walk through all the steps - from prototyping to production - of developing a machine learning pipeline. We’ll look at data cleaning, feature engineering, model building/evaluation, and deployment. Students will extend these models into an application using a real-world dataset.

Prerequisites:

  • Basic Python ability
  • Familiarity with Pandas recommended, but not required

The Data Incubator offers a foundation in building intelligent business applications using machine learning. We will walk through all the steps – from prototyping to production – of developing a machine learning pipeline. We’ll look at data cleaning, feature engineering, model building/evaluation, and deployment. Students will extend these models into an application using a real-world dataset. All work will be done in Python.

Schedule:

Anomaly Detection

  • Data format and goal
  • Pandas basics
  • Limitations of time-series data
  • De-trending and seasonality
  • Windowing and local scores
  • Setting thresholds for classification
  • Online learning

About your instructor

Photo of Zachary Glassman

Zachary Glassman is a data scientist in residence at the Data Incubator. Zachary has a passion for building data tools and teaching others to use Python. He studied physics and mathematics as an undergraduate at Pomona College and holds a master’s degree in atomic physics from the University of Maryland.

Conference registration

Get the Platinum pass or the Training pass to add this course to your package. Early Price ends July 27.

Leave a Comment or Question

Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?

Join the conversation here (requires login)