Professional XGBoost

New
·

6 Weeks

·

Cohort-based Course

Unlock the power of XGBoost and transform your data into actionable insights. Are you ready to go to the next level?

Students from...

Apple
Google
Uber
Stanford University
Microsoft

Course overview

Build Effective XGBoost Models

I’m Matt Harrison, the author of "Effective XGBoost," a comprehensive guide that has become a cornerstone for data scientists looking to harness the full potential of XGBoost. Over the years, I’ve had the privilege of consulting with numerous clients, guiding them through the intricacies of XGBoost.


The insights and practices I’ve shared have often been revelations—unique strategies and methodologies that are not readily available elsewhere. Clients have described working with me as having a personal guide escorting them down a confusing path, transforming their understanding and application of XGBoost from uncertain to confident and effective.


In this course, I’m bringing that same level of personalized guidance and depth of knowledge to you. Our curriculum is designed to provide a balanced mix of theoretical knowledge and practical experience. You will learn through engaging video lectures, hands-on exercises, and real-world projects. Plus, with our multi-tiered course offerings, you can choose the level of support and interaction that best fits your learning style and professional needs.

Who is this course for

01

Data Scientists - For seasoned data scientists, this course offers advanced insights and techniques to refine your skills. You will learn c

02

Machine Learning Engineers - As a machine learning engineer, you will benefit from the deep dive into XGBoost’s functionalities and opti

03

Software Developers - Software developers interested in expanding their skill set into the realm of machine learning will find this course

What you’ll get out of this course

Learn advanced Python skills to be productive - lambdas, comprehensions, unpacking, and classes


Master Pandas manipulation techniques - get your data explored and prepared


Leverage scikit-learn pipelines for data prep and feature engineering


Understand model performance - add dollar amounts to models and understand data quality and data quantity


Explore SHAP - Understand your model, constraints, and missing features
Tune to perfection - Use a tried and true method to quickly ensure that your model is not overfitting

This course includes

Interactive live sessions

Lifetime access to course materials

In-depth lessons

Direct access to instructor

Projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Jul 22—Jul 28

    Week dates are set to instructor's time zone

    Modules

    • Python & Pandas

  • Week 2

    Jul 29—Aug 4

    Week dates are set to instructor's time zone

    Modules

    • ML Fundamentals

  • Week 3

    Aug 5—Aug 11

    Week dates are set to instructor's time zone

    Modules

    • XGBoost

  • Week 4

    Aug 12—Aug 18

    Week dates are set to instructor's time zone

    Modules

    • Evaluation & Data Quality

  • Week 5

    Aug 19—Aug 25

    Week dates are set to instructor's time zone

    Modules

    • SHAP & Constraints

  • Week 6

    Aug 26—Aug 30

    Week dates are set to instructor's time zone

    Modules

    • Fine Tuning Model Predictions

What people are saying

        Matt Harrison is the Pandas guru, which in my opinion is equivalent to being Canelo Alvarez of boxers or the Esther Perel of therapists; he’s mastered the fundamentals and knows more than most anyone about the Pandas package.
Elijah J

Elijah J

        Matt is an expert and amazing professor.
Susan D

Susan D

Author title

I wrote the book

Learn to apply these techniques to your own tabular data problems.
Learn to apply these techniques to your own tabular data problems.

Meet your instructor

Matt Harrison

Matt Harrison

I've taught Python and Data Science to the biggest companies around the world. I've authored fundamental books on data science and Python. I'm here to help you leverage these tools.

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Join an upcoming cohort

Professional XGBoost

Cohort 1

$999

Dates

July 22—Aug 30, 2024

Payment Deadline

July 22, 2024
|

Bulk purchases

Course schedule

4-6 hours per week
  • Tuesdays

    9:00am - 10:00am PST

    Live sessions to enhance comprehension and learn together.

  • Six Weeks

    Each week will have a prerecorded session, homework, and a live session. In addition, you will have the opportunity for peer review and networking.

  • Weekly projects

    2 hours per week

    Weekly projects allow you to master the content.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
A pattern of wavy dots
Join an upcoming cohort

Professional XGBoost

Cohort 1

$999

Dates

July 22—Aug 30, 2024

Payment Deadline

July 22, 2024
|

Bulk purchases

$999

6 Weeks