Machine Learning Intermediate
Interactive-first machine learning with scikit-learn: 300+ graded drills, 35 playgrounds, 35 lessons.
Who it's for
Learners who completed ML Beginner and want production-style sklearn pipelines.
What you'll learn
- Build sklearn Pipelines with preprocessing and models
- Tune hyperparameters with GridSearchCV and cross-validation
- Handle imbalanced data and ensemble models
- Apply PCA, regularization, ROC/AUC, and feature importance
- Build TF-IDF text classifiers on academy reviews
- Train HistGradientBoosting models on tabular data
Course contents
- 01Pipelines & ColumnTransformer
- 02Cross-validation & tuning
- 03Imbalanced data & ensembles
- 04Feature engineering & regularization
- 05ROC/AUC & calibration
- 06Shop & academy capstones