REGISTER NOW & WATCH LATER - 90 Minutes

Tuning Decision Trees with Python - A Crash Course

Presented by
D
David Langer
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Free Training to Fit Your Busy Schedule

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 requires the best data and tuning the models based on the data.

Want a crash course in tuning ML models?

In 90 minutes, you will learn how to tune decision trees to craft the most useful models. ML models based on decision trees are state-of-the-art in applied machine learning.

Are you new to Python?

This crash course assumes a basic level of Python skills. Check out Dave's free YouTube Python Crash Course tutorial series to get the skills you need.

Need a crash course in decision trees?

No problem! Check out Dave's free, self-paced Decision Trees with Python crash course.

Get the files

Register and you will receive an email with a PDF of all slides, a Jupyter Notebook of the Python code, and the data used in the crash course.

Don't have time to watch the course now?

No problem! When you register, you will receive a link to watch the crash course when you are ready.

Want to jumpstart your machine learning skills?

Check out Dave's free on-demand Python crash courses on logistic regression and k-means clustering. Register now and watch later!

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.

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