_quarto.yml

project:
  title: "{{< var site_title >}}"
  type: book
  output-dir: docs

execute:
  freeze: true

book:
  # title: "{{< var course_num >}}: {{< var course_title >}} | {{< var academic_term >}} | {{< var cohort_type >}}"
  title:  "{{< var course_title >}}"
  author: "{{< instructor >}}"
  date: "12/07/2023"
  reader-mode: false
  page-navigation: true
  repo-actions: [edit]
  repo-url: "https://github.com/ontoligent/DS5001-2024-01-R"
  chapters:
  - index.qmd
  - part: "M01 Introduction"
    chapters:
    - lessons/M01_Intro/M01_01_getting-started.ipynb
    - lessons/M01_Intro/M01_02_hello.ipynb
    - lessons/M01_Intro/M01_03_first-foray.ipynb
    - lessons/M01_Intro/M01_04_FurtherExploration.ipynb
  - part: "M02 TextModels"
    chapters:
    - lessons/M02_TextModels/M02_01_Importing-Persuasion.ipynb
    - lessons/M02_TextModels/M02_02_TokenizingWithSciKitLearn.ipynb
    - lessons/M02_TextModels/M02_03_Challenge.ipynb
  - part: "M03 LanguageModels"
    chapters:
    - lessons/M03_LanguageModels/M03_01_Babel.ipynb
    - lessons/M03_LanguageModels/M03_01a_EntropyExamples.ipynb
    - lessons/M03_LanguageModels/M03_02_LanguageModels_V1.ipynb
    - lessons/M03_LanguageModels/M03_02_LanguageModels_V2.ipynb
    - lessons/M03_LanguageModels/M03_02_LanguageModels_V3.ipynb
    - lessons/M03_LanguageModels/M03_02_SimpleLangModel.ipynb
    - lessons/M03_LanguageModels/M03_03_Entropy-and-Perplexity.ipynb
    - lessons/M03_LanguageModels/M03_04-Entropy-and-Term-Length.ipynb
    - lessons/M03_LanguageModels/M03_EZ.ipynb
  - part: "M04 NLP"
    chapters:
    - lessons/M04_NLP/M04_00_NLTK_Intro.ipynb
    - lessons/M04_NLP/M04_01_Pipeline.ipynb
    - lessons/M04_NLP/M04_02_HMM.ipynb
  - part: "M05 VectorSpaceModels"
    chapters:
    - lessons/M05_VectorSpaceModels/M05_01_BOW_TFIDF.ipynb
    - lessons/M05_VectorSpaceModels/M05_02_TimeTokenMatrices.ipynb
    - lessons/M05_VectorSpaceModels/M05_03_TFIDF_Exploration.ipynb
  - part: "M06 CusteringSimilarity"
    chapters:
    - lessons/M06_CusteringSimilarity/M06_01_SimilarityMeasures.ipynb
  - part: "M07 FeaturesAndComponents"
    chapters:
    - lessons/M07_FeaturesAndComponents/M07_01_PCA.ipynb
  - part: "M08 TopicModels"
    chapters:
    - lessons/M08_TopicModels/M08_01_GibbsSampler.ipynb
    - lessons/M08_TopicModels/M08_02_LDASciKitLearn.ipynb
    - lessons/M08_TopicModels/M08_03_TopicSimilarity.ipynb
    - lessons/M08_TopicModels/M08_04_TopicContiguity.ipynb
    - lessons/M08_TopicModels/M08_05_PyLDAVis.ipynb
    - lessons/M08_TopicModels/Untitled.ipynb
  - part: "M08a Visualization"
    chapters:
    - lessons/M08a_Visualization/M08a_01_Gensim.ipynb
    - lessons/M08a_Visualization/M08a_02_GensimRunCompareLDA.ipynb
    - lessons/M08a_Visualization/M08a_03_MALLET.ipynb
    - lessons/M08a_Visualization/M08a_04_Mazo.ipynb
  - part: "M09 WordEmbedding"
    chapters:
    - lessons/M09_WordEmbedding/M09_01_GloVe.ipynb
    - lessons/M09_WordEmbedding/M09_02_PMI_SVD.ipynb
    - lessons/M09_WordEmbedding/M09_03_SkipgramRepresentation.ipynb
    - lessons/M09_WordEmbedding/M09_04_word2vec.ipynb
    - lessons/M09_WordEmbedding/M09_05_FastText.ipynb
    - lessons/M09_WordEmbedding/Untitled.ipynb
    - lessons/M09_WordEmbedding/run_fasttext.ipynb
  - part: "M10 SentimentAnalysis"
    chapters:
    - lessons/M10_SentimentAnalysis/M10_01_GeneralInquirer.ipynb
    - lessons/M10_SentimentAnalysis/M10_02_CombineLexicons.ipynb
    - lessons/M10_SentimentAnalysis/M10_03_Novel.ipynb
    - lessons/M10_SentimentAnalysis/M10_04_AustenMelville.ipynb
    - lessons/M10_SentimentAnalysis/M10_05_WordShiftGraphs.ipynb
    - lessons/M10_SentimentAnalysis/M10_06_Doc2Vec.ipynb
  - part: "M11 Narrative"
    chapters:
    - lessons/M11_Narrative/M11_01_ExportBooksWithSentiment.ipynb
    - lessons/M11_Narrative/M11_02_SyuzhetPlots.ipynb
    - lessons/M11_Narrative/M11_03_Syuzhet_R.ipynb
    - lessons/M11_Narrative/M11_04_Syuzhet_RGeneral.ipynb
  - part: "M12 Classification"
    chapters:
    - lessons/M12_Classification/M12_01_NaiveBayesWineReviews.ipynb
    - lessons/M12_Classification/M12_01b_SKLearnMNB.ipynb
    - lessons/M12_Classification/M12_02_PerceptronWine.ipynb
    - lessons/M12_Classification/M12_03.ExpectedMutualInformation.ipynb
    - lessons/M12_Classification/M12_04_Viz.ipynb
    - lessons/M12_Classification/Untitled.ipynb
  - part: "M13 LLMs"
    chapters:
    - lessons/M13_LLMs/M13_01_ChatGPTDemo.ipynb
    - lessons/M13_LLMs/M13_02_ChatGPTDemo2.ipynb
    - lessons/M13_LLMs/M13_03_ChatGPT4Demo.ipynb
    - lessons/M13_LLMs/M13_play.ipynb
    - lessons/M13_LLMs/tokenizer_training.ipynb
  - part: "M90 DispersionPlots"
    chapters:
    - lessons/M90_DispersionPlots/m01.04-austen-kde.ipynb
    - lessons/M90_DispersionPlots/onehot.ipynb
  - part: "M91 Charrette"
    chapters:
    - lessons/M91_Charrette/CharretteFIguresAndCharacters.ipynb
    - lessons/M91_Charrette/CharretteTokens.ipynb
  - part: "M92 Helpers"
    chapters:
    - lessons/M92_Helpers/M00_01_VectorizationWithSKLearn.ipynb
    - lessons/M92_Helpers/M00_02_SpaCy.ipynb  

  sidebar:
    style: docked
    reader-mode: false
    # style: floating
    background: light
    collapse-level: 1
    subtitle: Fall 2024

# comments:
#   hypothesis: true

bibliography: references.bib

format:
  html:
    toc: true
    theme: cosmo
    number-sections: false
    fig-cap-location: bottom
    link-external-icon: true
    link-external-newwindow: true
    reader-mode: false
  # pdf:
  #   documentclass: scrreport