FrontierML/_toc.yml at main · Beaker12/FrontierML · GitHub

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format: jb-book
root: intro
chapters:
- file: notebooks/00_index
  title: "Course Overview"
- file: notebooks/01_data_collection
  title: "Chapter 1: Data Collection and Web Scraping"
# - file: notebooks/02_linear_regression
#   title: "Chapter 2: Linear Regression with Real Estate Data"
# - file: notebooks/03_logistic_regression
#   title: "Chapter 3: Logistic Regression"
# - file: notebooks/04_decision_trees
#   title: "Chapter 4: Decision Trees"
# - file: notebooks/05_random_forest
#   title: "Chapter 5: Random Forest"
# - file: notebooks/06_support_vector_machines
#   title: "Chapter 6: Support Vector Machines"
# - file: notebooks/07_neural_networks
#   title: "Chapter 7: Neural Networks"
# - file: notebooks/08_k_means_clustering
#   title: "Chapter 8: K-Means Clustering"
# - file: notebooks/09_hierarchical_clustering
#   title: "Chapter 9: Hierarchical Clustering"
# - file: notebooks/10_principal_component_analysis
#   title: "Chapter 10: Principal Component Analysis (PCA)"
# - file: notebooks/11_naive_bayes
#   title: "Chapter 11: Naive Bayes Classification"
# - file: notebooks/12_k_nearest_neighbors
#   title: "Chapter 12: K-Nearest Neighbors (KNN)"
# - file: notebooks/13_gradient_boosting
#   title: "Chapter 13: Gradient Boosting Machines"
# - file: notebooks/14_association_rule_mining
#   title: "Chapter 14: Association Rule Mining"
# - file: notebooks/15_dbscan_clustering
#   title: "Chapter 15: DBSCAN Clustering"
# - file: notebooks/16_linear_discriminant_analysis
#   title: "Chapter 16: Linear Discriminant Analysis (LDA)"
# - file: notebooks/17_gaussian_mixture_models
#   title: "Chapter 17: Gaussian Mixture Models (GMM)"
# - file: notebooks/18_adaboost
#   title: "Chapter 18: AdaBoost (Adaptive Boosting)"
# - file: notebooks/19_q_learning
#   title: "Chapter 19: Q-Learning (Reinforcement Learning)"
# - file: notebooks/20_autoencoders
#   title: "Chapter 20: Autoencoders (Deep Learning)"
# - file: notebooks/21_convolutional_neural_networks
#   title: "Chapter 21: Convolutional Neural Networks (CNN)"