Merge branch 'main' into release

open-machine-learning-jupyter-book/_config.yml

@@ -18,12 +18,13 @@ execute:
     - 'slides/**/*'
     - 'data-science/working-with-data/pandas/*'
     - 'ml-fundamentals/classification/introduction-to-classification.ipynb'
-    - 'ml-fundamentals/build-a-web-app-to-use-a-machine-learning-model.md'
+    - 'ml-fundamentals/build-a-web-app-to-use-a-machine-learning-model.ipynb'
     - 'ml-fundamentals/regression/managing-data.ipynb'
     - 'ml-fundamentals/regression/loss-function.ipynb'
     - 'ml-advanced/ensemble-learning/random-forest.ipynb'
     - 'ml-advanced/clustering/introduction-to-clustering.ipynb'
     - 'ml-advanced/clustering/k-means-clustering.ipynb'
+    - 'ml-advanced/unsupervised-learning-pca-and-clustering.ipynb'
     - 'data-science/data-visualization/visualization-distributions.ipynb'
     - 'ml-advanced/unsupervised-learning.ipynb'
     - 'data-science/data-science-in-the-cloud/the-azure-ml-sdk-way.ipynb'
@@ -92,4 +93,4 @@ sphinx:
     - sphinxcontrib.tikz
     - sphinxcontrib.blockdiag
     - sphinxcontrib.drawio
-    - sphinxcontrib.quizdown
+    - sphinxcontrib.quizdown

open-machine-learning-jupyter-book/_toc.yml

@@ -50,20 +50,25 @@ parts:
 - caption: MACHINE LEARNING BASICS
   numbered: True
   chapters:
-  - file: ml-fundamentals/ml-overview
+  - file: ml-fundamentals/ml-overview.ipynb
+  - file: ml-fundamentals/ml-summary.ipynb
   - file: ml-fundamentals/regression/regression-models-for-machine-learning
     sections:
     - file: ml-fundamentals/regression/tools-of-the-trade
     - file: ml-fundamentals/regression/managing-data
     - file: ml-fundamentals/regression/linear-and-polynomial-regression
     - file: ml-fundamentals/regression/logistic-regression
-  - file: ml-fundamentals/build-a-web-app-to-use-a-machine-learning-model
+  - file: ml-fundamentals/build-a-web-app-to-use-a-machine-learning-model.ipynb
   - file: ml-fundamentals/classification/getting-started-with-classification
     sections:
     - file: ml-fundamentals/classification/introduction-to-classification
     - file: ml-fundamentals/classification/more-classifiers
     - file: ml-fundamentals/classification/yet-other-classifiers
     - file: ml-fundamentals/classification/applied-ml-build-a-web-app
+  - file: ml-fundamentals/parameter-optimization/parameter-optimization
+    sections:
+    - file: ml-fundamentals/parameter-optimization/loss-function.ipynb
+    - file: ml-fundamentals/parameter-optimization/gradient-descent.ipynb
 - caption: ADVANCED MACHINE LEARNING
   numbered: True
   chapters:
@@ -84,6 +89,7 @@ parts:
     - file: ml-advanced/gradient-boosting/xgboost-k-fold-cv-feature-importance.ipynb
   - file: ml-advanced/unsupervised-learning
   - file: ml-advanced/kernel-method
+  - file: ml-advanced/unsupervised-learning-pca-and-clustering.ipynb
   - file: ml-advanced/model-selection
 - caption: DEEP LEARNING
   numbered: True