_toc.yml

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

format: jb-book
root: README
parts:
- caption: 📚 Python for Data Analysis
  chapters:
  - file: doc/Python-for-Data-Analysis/README
    title: Index of Contents
  - file: doc/Python-for-Data-Analysis/S1D00-getting-started.md
    title: "Section 1: Getting Started"
    sections:
    - file: doc/Python-for-Data-Analysis/S1D01-getting-started.ipynb
      title: Getting Started
    - file: doc/Python-for-Data-Analysis/S1D02-python-arithmetic
      title: Python Arithmetic
    - file: doc/Python-for-Data-Analysis/S1D03-basic-data-types.ipynb
      title: Basic Data Types
  - file: doc/Python-for-Data-Analysis/S2D00-data-structure.md
    title: "Section 2: Data Structures"
    sections: 
    - file: doc/Python-for-Data-Analysis/S2D04-variables.ipynb
      title: Variables
    - file: doc/Python-for-Data-Analysis/S2D05-lists.ipynb
      title: Lists
    - file: doc/Python-for-Data-Analysis/S2D06-tuples-and-strings.ipynb
      title: Tuples and Strings
    - file: doc/Python-for-Data-Analysis/S2D07-dictionaries-and-sets.ipynb
      title: Dictionaries and Sets
    - file: doc/Python-for-Data-Analysis/S2D08-numpy-arrays.ipynb
      title: Numpy Arrays
    - file: doc/Python-for-Data-Analysis/S2D08-visual-numpy.md
      title: Visual Intro to NumPy
    - file: doc/Python-for-Data-Analysis/S2D09-pandas-dataframes.ipynb
      title: Pandas DataFrames
    - file: doc/Python-for-Data-Analysis/S2D09-pandas-practice.ipynb
      title: Pandas Mindmap & Practice
    - file: doc/Python-for-Data-Analysis/S2D10-reading-and-writing-data.ipynb
      title: Reading and Writing Data
  - file: doc/Python-for-Data-Analysis/S3D00-programming-constructs.md
    title: "Section 3: Programming Constructs"
    sections:
    - file: doc/Python-for-Data-Analysis/S3D11-control-flow.ipynb
      title: Control Flow
    - file: doc/Python-for-Data-Analysis/S3D12-functions.ipynb
      title: Functions
    - file: doc/Python-for-Data-Analysis/S3D13-list-comprehensions.ipynb
      title: List comprehensions
  - file: doc/Python-for-Data-Analysis/S4D00-data-exploration-analysis.md
    title: "Section 4: Data Exploration and Cleaning"
    sections:
    - file: doc/Python-for-Data-Analysis/S4D14-data-exploration-and-cleaning.ipynb
      title: Data Exploration and Cleaning
    - file: doc/Python-for-Data-Analysis/S4D15-working-with-text-data.ipynb
      title: Work with Text Data
    - file: doc/Python-for-Data-Analysis/S4D16-preparing-numeric-data.ipynb
      title: Preparing Numeric Data
    - file: doc/Python-for-Data-Analysis/S4D20-common-cheat-sheet.md
      title: Common Cheatsheets
  # - file: tutorials/references

- caption: 📚 Statistics For Business and Economics
  chapters:
  - file: doc/Stats-For-Biz-Econ/README
    title: Index of Contents

- caption: 📚 Machine Learning by Doing
  chapters:
  - file: doc/Machine-Learning-aibydoing/README.md
    title: 课程概览
  - file: doc/Machine-Learning-aibydoing/requirement.md
    title: 课程要求与依赖
  - file: doc/Machine-Learning-aibydoing/01.机器学习综述及示例.ipynb
    title: 机器学习综述及示例
  - file: doc/Machine-Learning-aibydoing/02.线性回归实现与应用.ipynb
    title: 线性回归实现与应用
  - file: doc/Machine-Learning-aibydoing/03.北京市住房价格预测.ipynb
    title: 北京市住房价格预测
  - file: doc/Machine-Learning-aibydoing/04.多项式回归实现与应用.ipynb
    title: 多项式回归实现与应用
  - file: doc/Machine-Learning-aibydoing/05.比特币价格预测及绘图.ipynb
    title: 比特币价格预测及绘图
  - file: doc/Machine-Learning-aibydoing/06.岭回归和LASSO回归实现.ipynb
    title: 岭回归和LASSO回归实现
  - file: doc/Machine-Learning-aibydoing/07.使用矩阵计算岭回归系数.ipynb
    title: 使用矩阵计算岭回归系数
  - file: doc/Machine-Learning-aibydoing/08.回归模型评价与检验.ipynb
    title: 回归模型评价与检验
  - file: doc/Machine-Learning-aibydoing/09.回归方法综合应用练习.ipynb
    title: 回归方法综合应用练习

- caption: 🧭 Topic Guides
  # chapters:
  # - file: basics/organize
  #   sections:
  #   - file: structure/toc
  #   - file: structure/configure
  #   - file: file-types/index
  chapters:
  - file: tmp/markdown
  - file: tmp/notebooks
  - file: tmp/markdown-notebooks