Machine Learning & Data Science
ML Fundamentals & Engineering
The ML workflow, model development, boosting and the engineering practices that productionize models.
5 courses
Beginner · Intermediate
Intermediate
4 coursesBuilding Machine Learning Models in Python with scikit-learn
Data processing, regression, SVMs, gradient boosting, clustering and dimensionality reduction with scikit-learn.
Intermediate
Machine Learning Boosting Techniques
Understand, implement, tune and interpret boosting algorithms for stronger ML models.
Intermediate
Machine Learning Model Development
Develop, deploy and continuously validate and retrain a machine-learning model.
Intermediate
AI/ML Fundamentals for DevOps and Testing
What ML is (and isn’t) for DevOps, how it works, data/features and operationalizing it safely in CI/CD.
Intermediate
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