LIVE WEBINAR - ABOUT 90 MINUTES

Feature Engineering with Python - A Crash Course

Hosted by
D
David Langer
October 25th | 11:00 am MDT | Show in my timezone

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Be Part of the Data-Driven Future of Business

Is data shaping the future of your profession?

While data has always been used in business, things have changed. Functions like HR, Product Management, Customer Service, etc., are embracing machine learning to drive better business outcomes.

Do you want to be a part of this data-driven future?

Skills with machine learning are useful for ANY professional. However, creating useful machine learning models takes the right kind of data. Feature engineering is all about feeding the best data to your ML models.

Want a crash course in feature engineering?

In about 90 minutes, you will learn how to craft the best features for use in decision tree-based machine learning models. ML models based on decision trees are state-of-the-art in applied machine learning.

Are you new to Python?

This webinar assumes a basic level of Python skills. Webinar attendees will get an exclusive discount code for Dave's online Python Quick Start tutorial offered in partnership with TDWI.

Get the files

Attendees will receive an email with a PDF of all slides, a Jupyter Notebook of Python code, and the data used during the webinar.

Get your questions answered

Dave will answer your questions live during the webinar. A recording of the webinar will be available for 14 days.

Is this crash course worth your time?

Check out what professionals have to say about Dave's crash courses below. Also, check out this video of Dave teaching a previous crash course.

about

About Dave Langer

Dave Langer founded Dave on Data, where he crafts and delivers training designed for ANY professional to develop valuable data analysis skills. Dave's vision is a world where data analysis skills are as common as skills with Microsoft Office.


Dave has successfully trained 100s of professionals in a live classroom setting and 1000s more via his online courses and tutorials. Dave is a hands-on analytics artisan, combining Excel, SQL, and R/Python to deliver insights that drove business strategy at companies like Schedulicity, Data Science Dojo, and Microsoft.


Dave holds a BA in economics and an MS in computer science from the University of Washington.

What People Say

October
25
Wednesday
October 25th
11:00 am MDT