Kaggle Learn
Intro to Machine Learning
Kaggle's quick start to machine learning: build, validate and improve your first models.
Free certificateAI & Machine Learning
3 hrsBeginner
Intermediate Machine Learning
Kaggle's next step in ML: missing values, categorical data, pipelines, XGBoost and leakage.
Taught byKaggle LearnAbout this course
Follows Intro to Machine Learning with practical techniques for real datasets: handling missing values and categorical variables, building pipelines, cross-validation, gradient boosting with XGBoost, and avoiding data leakage.
Best for: Learners who have built a first model and want better ones.
What you will be able to do
- Handle missing and categorical data
- Build scikit-learn pipelines
- Use cross-validation
- Train XGBoost models and avoid leakage
Syllabus and your progress
Tick modules off as you finish them on Kaggle Learn.
0 of 7 modules done
Plan your pace
At 4 hours a week you would finish in about 1 week, using the course time estimate above.
Progress is saved in this browser only. No account needed.
Cost and certificate
Free certificate
Kaggle issues a free course certificate to signed-in users who finish all lessons and exercises.
Before you start: Kaggle Intro to Machine Learning
Kaggle Learn sets the terms and can change them. Check the course page before you commit serious time, and tell us if something changed.
Quick answers
- Is Intermediate Machine Learning really free?
- Yes, the course material is free on Kaggle Learn. Kaggle issues a free course certificate to signed-in users who finish all lessons and exercises.
- How long does Intermediate Machine Learning take?
- Plan for about 4 hrs in total (Kaggle course page estimate (about 4 hours).). It is interactive, so you can go faster or slower.
- Do I need experience before Intermediate Machine Learning?
- It helps to have: Kaggle Intro to Machine Learning.
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About Kaggle Learn
Short, practical data science micro-courses.
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