_toc.yml

# Table of contents
# Learn more at https://jupyterbook.org/customize/toc.html

format: jb-book
root: README.md

parts:
- caption: Things you should know
  chapters: 
  - file: syllabus.md  
  - file: docs/README.md
  - file: learning-objectives.md
  sections:
  - file: docs/330_vs_340.md  
  - file: docs/homework_instructions.md
  - file: docs/resources.md 
  - file: docs/grades.md
  - file: docs/setup.md
  - file: docs/git_installation.md
  - file: docs/asking_for_help.md
- caption: Lectures
  chapters: 
  - file: lectures/notes/01_intro.ipynb
  - file: lectures/notes/02_terminology-decision-trees.ipynb
  - file: lectures/notes/03_ml-fundamentals.ipynb    
  - file: lectures/notes/04_kNNs-SVM-RBF.ipynb   
  - file: lectures/notes/05_preprocessing-pipelines.ipynb
  - file: lectures/notes/06_column-transformer-text-feats.ipynb
  - file: lectures/notes/07_linear-models.ipynb
  - file: lectures/notes/08_hyperparameter-optimization.ipynb
  - file: lectures/notes/09_classification-metrics.ipynb
  - file: lectures/notes/10_regression-metrics.ipynb  
  - file: lectures/notes/12_ensembles.ipynb
  - file: lectures/notes/13_feat-importances.ipynb
  - file: lectures/notes/14_feature-engineering-selection.ipynb
  - file: lectures/notes/15_K-Means.ipynb
  - file: lectures/notes/16_DBSCAN-hierarchical.ipynb  
  - file: lectures/notes/17_recommender-systems.ipynb
  - file: lectures/notes/18_natural-language-processing.ipynb
  - file: lectures/notes/19_intro_to_computer-vision.ipynb
  - file: lectures/notes/20_time-series.ipynb
  - file: lectures/notes/21_survival-analysis.ipynb  
  - file: lectures/notes/22_communication.ipynb    
  - file: lectures/notes/24_deployment-conclusion.ipynb
  - file: lectures/notes/final-exam-review-guiding-question.ipynb  
  - file: lectures/notes/appendixA_feature-engineering-text-data.ipynb
  - file: lectures/notes/appendixB_multiclass-strategies.ipynb
- caption: Attribution
  chapters: 
  - file: attribution
  - file: LICENSE