_toc.yml

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

format: jb-book
root: intro
parts:
- chapters:
  - file: labs/Lab 0 - Prerequisites
- caption: Lectures
  chapters:
  - file: notebooks/01 - Introduction
  - file: notebooks/02 - Linear Models
  - file: notebooks/03 - Kernelization
  - file: notebooks/04 - Model Selection
  - file: notebooks/05 - Ensemble Learning
  - file: notebooks/06 - Data Preprocessing
  - file: notebooks/07 - Bayesian Learning
  - file: notebooks/08 - Neural Networks
  - file: notebooks/09 - Convolutional Neural Networks
  - file: notebooks/10 - Neural Networks for text
- caption: Labs
  chapters:
  - file: labs/Lab 1a - Linear Models for Regression
  - file: labs/Lab 1b - Linear Models for Classification
  - file: labs/Lab 2a - Kernelization
  - file: labs/Lab 2b - Model Selection
  - file: labs/Lab 3 - Ensembles
  - file: labs/Lab 4 - Pipelines.ipynb
  - file: labs/Lab 5 - Bayesian learning
  - file: labs/Lab 6 - Neural Networks
  - file: labs/Lab 7a - Convolutional Neural Networks
  - file: labs/Lab 7b - Neural Networks for text
  - file: labs/Lab 8 - AutoML
- caption: Tutorials
  chapters:
  - file: notebooks/Tutorial 1 - Python.ipynb
  - file: notebooks/Tutorial 2 - Python for Data Analysis.ipynb
  - file: notebooks/Tutorial 3 - Machine Learning in Python.ipynb
  - file: notebooks/Tutorial 4 - Decision Trees.ipynb
  - file: notebooks/Tutorial 5 - Nearest Neighbors.ipynb
  - file: labs/Lab 1 - Tutorial.ipynb
  - file: labs/Lab 2 - Tutorial.ipynb
  - file: labs/Lab 4 - Tutorial.ipynb
  - file: labs/Lab 6 - Tutorial.ipynb
  - file: labs/Lab 7 - Tutorial.ipynb