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?
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...
Course overview
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.
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Data Scientists - For seasoned data scientists, this course offers advanced insights and techniques to refine your skills. You will learn c
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Machine Learning Engineers - As a machine learning engineer, you will benefit from the deep dive into XGBoost’s functionalities and opti
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Software Developers - Software developers interested in expanding their skill set into the realm of machine learning will find 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
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.
Professional XGBoost
Elijah J
Susan D
Learn to apply these techniques to your own tabular data problems.
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.
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.
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