ml-lab-prep

Practice and solved notebooks for a machine learning lab exam (classification, regression, K-Means, PCA, grid vs random search, 5-fold CV, Friedman/ANOVA and post-hoc tests), plus the datasets they use.

pip install ml-lab-prep
ml-lab-prep check            # verify scikit-learn / xgboost etc. work
ml-lab-prep init             # copies notebooks + data into ./ML_Lab_Prep
cd ML_Lab_Prep && jupyter notebook

Options: ml-lab-prep init my_folder, ml-lab-prep init --practice-only. Start with practice/01_Spambase_Classification.ipynb; solved/ has run outputs; read EXAM_PLAYBOOK.md last.

For study use. Follow your institution's rules on what material is allowed in an exam.