Course 10 of 16

Tree-Based Models & Gradient Boosting

Decision trees, Random forest, XGBoost, and more.

Yiga AI

Intermediate en

Intermediate · Course · 3 weeks at 5 hrs/week

Duration: 3 weeks
Effort: 5 hrs/week
Lessons: 16
Hands-on exercises: 16
Projects: 1
Language: en

What you’ll learn

Skills you can put to work.

Python for Data Science Refresher

Statistical Thinking

Supervised Learning with scikit-learn

Unsupervised Learning

Syllabus

Every module, step by step.

4 modules · 21 lessons · 14 hours · 1 graded project

840 minutes of guided lesson time.

Module 1 · 5 lessons · 3 hoursDecision treesModule 1 of 4 in Tree-Based Models & Gradient Boosting.

Overview and set-up
Overview and set-up — Decision trees in Tree-Based Models & Gradient Boosting.
Lesson
40 min
Core concepts
Core concepts — Decision trees in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Worked example
Worked example — Decision trees in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Decision trees in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Module quiz: Decision trees
Check what you learned in Decision trees before moving on.
Quiz · Locked
20 min

Module 2 · 5 lessons · 3 hours LockedRandom forestModule 2 of 4 in Tree-Based Models & Gradient Boosting.

Overview and set-up
Overview and set-up — Random forest in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Core concepts
Core concepts — Random forest in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Worked example
Worked example — Random forest in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — Random forest in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Module quiz: Random forest
Check what you learned in Random forest before moving on.
Quiz · Locked
20 min

Module 3 · 5 lessons · 3 hours LockedXGBoostModule 3 of 4 in Tree-Based Models & Gradient Boosting.

Overview and set-up
Overview and set-up — XGBoost in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Core concepts
Core concepts — XGBoost in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Worked example
Worked example — XGBoost in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — XGBoost in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Module quiz: XGBoost
Check what you learned in XGBoost before moving on.
Quiz · Locked
20 min

Module 4 · 6 lessons · 5 hours LockedLightGBMModule 4 of 4 in Tree-Based Models & Gradient Boosting.

Overview and set-up
Overview and set-up — LightGBM in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Core concepts
Core concepts — LightGBM in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Worked example
Worked example — LightGBM in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Hands-on practice
Hands-on practice — LightGBM in Tree-Based Models & Gradient Boosting.
Lesson · Locked
40 min
Module quiz: LightGBM
Check what you learned in LightGBM before moving on.
Quiz · Locked
20 min
Graded project: Tree-Based Models & Gradient Boosting
Apply everything from Tree-Based Models & Gradient Boosting in one graded, portfolio-ready build.
Graded project · Locked
120 min

Applied learning project

Make the learning visible.

Use Graded project: Tree-Based Models & Gradient Boosting to apply this course to a practical challenge. You’ll finish with a clear solution and the reasoning behind your choices.

Apply the course’s core skillMake and explain practical decisionsCreate evidence you can share

Your instructor

Mariam K.

Software & cloud

Helps new developers build reliable products through clear explanations and guided practice.

“I use what I learned in my work now, not in some distant future project.”
Diana Nsiiza
Data analyst, Entebbe

Continue with

Your next best step.

Following the order of Data Scientist with Python.

See the full chain

Next lesson

Overview and set-up

Tree-Based Models & Gradient Boosting

40 min · Resume

Course 11 in the track

Experiment Design & A/B Testing

Design, Power, Analysis, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

Course 12 in the track

Supervised Learning with scikit-learn

Regression, Classification, Train/test, and more.

Intermediate · Course · 4 weeks at 5 hrs/week

Course 13 in the track

Model Evaluation & Tuning

Cross-validation, Grid search, ROC/AUC, and more.

Intermediate · Course · 3 weeks at 5 hrs/week

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