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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

In-Person Training
Practical Machine Learning with Jupyter Notebooks

Christian Moscardi (The Data Incubator)
Tuesday, August 22 & Wednesday, August 23, 9:00am - 5:00pm
Location: Concourse F Level: Intermediate
See pricing & packages
Best Price ends May 25

This course will sell out—sign up today!

Participants should plan to attend both days of this 2-day training course. Platinum and Training passes do not include access to tutorials on Wednesday.

We cover developing a machine learning pipeline, from prototyping to production, in the Jupyter platform. We look at data cleaning, feature engineering, model building/evaluation, and deployment. We dive into applications from real-world datasets. We highlight Jupyter magics, settings, and libraries to enable visualizations. We demonstrate Jupyter best practices in an industry-focused setting.

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

Students will learn the fundamentals of an end-to data science workflow in Jupyter - including Jupyter tips, tricks, and best practices. We'll also discuss various modeling techniques and their implementations in Python.

This training is for you because...

Juypter users looking to learn the fundamentals of an end-to data science workflow within Juypter.

Prerequisites:

We expect students to have some programming experience and basic familiarity with math, such as linear algebra.

Day 1: Recommendation Engine
– Overview of data + its wrangling
– Item-item correlations + finding similar items
– User similarity + predicting user ratings
– Collaborative filtering
– Evaluating model performance

Day 2: Anomaly Detection
– Data format and goal
– Limitations of time-series data
– De-trending and seasonality
– Windowing and local scores
– Setting thresholds for classification
– Online learning

About your instructor

Photo of Christian Moscardi

Christian Moscardi has lived in NYC for the past 6 years, having previously developed a CMS for food blogs, worked for Google, and researched and taught at Columbia. Extracurricular activities include cooking, piano, and exploring New York.

Conference registration

Get the Platinum pass to add this course to your package. Best Price ends May 25.

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