Mar 15–18, 2020

Hands-On Data Science with Python

Don Fox (The 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.

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 two applications from real-world datasets. All work will be done in Python.

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

Participants will understand: Basics of machine learning and feature engineering Basics of anomaly detection and recommendation engines Scikit-learn fundamentals Participants will 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:

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

Hardware and/or installation requirements:

A laptop computer

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 two applications from real-world datasets. All work will be done in Python.

About your instructor

Photo of Don Fox

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

Conference registration

Get the Platinum pass or the Training pass to add this course to your package.

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