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diff --git a/README.md b/README.md
@@ -25,8 +25,8 @@ ______________________________________________________________________
 ## Introduction
 
 This is a set of tutorials for the CMS Machine Learning Hands-on Advanced Tutorial Session (HATS). 
-They are intended to show you how to build machine learning models in python, using `Keras`, `TensorFlow`, and `PyTorch`, and use them in your `ROOT`-based analyses. 
-We will build event-level classifiers for differentiating VBF Higgs and standard model background 4 muon events and jet-level classifiers for differentiating boosted W boson jets from QCD jets using dense and convolutional neural networks.
+They are intended to show you how to build machine learning models in python, using `xgboost`, `Keras`, `TensorFlow`, and `PyTorch`, and use them in your `ROOT`-based analyses. 
+ We will build event-level classifiers for differentiating VBF Higgs and standard model background 4 muon events and jet-level classifiers for differentiating boosted W boson jets from QCD jets using BDTs, and dense and convolutional neural networks.
 We will also explore more advanced models such as graph neural networks (GNNs), variational autoencoders (VAEs), and generative adversarial networks (GANs) on simple datasets.
 
 ## Setup

diff --git a/machine-learning-hats/_toc.yml b/machine-learning-hats/_toc.yml
@@ -14,12 +14,13 @@ parts:
     maxdepth: 2
     chapters:
     - file: notebooks/1-datasets-uproot
-    - file: notebooks/2-dense
+    - file: notebooks/2-boosted-decision-tree
+    - file: notebooks/3-dense
       sections:
-        - file: notebooks/2.1-dense-keras
-        - file: notebooks/2.2-dense-pytorch
-        - file: notebooks/2.3-dense-bayesian-optimization
-    - file: notebooks/3-conv2d
-    - file: notebooks/4-gnn-cora
-    - file: notebooks/5-vae-mnist
-    - file: notebooks/6-gan-mnist
+        - file: notebooks/3.1-dense-keras
+        - file: notebooks/3.2-dense-pytorch
+        - file: notebooks/3.3-dense-bayesian-optimization
+    - file: notebooks/4-conv2d
+    - file: notebooks/5-gnn-cora
+    - file: notebooks/6-vae-mnist
+    - file: notebooks/7-gan-mnist
diff --git a/machine-learning-hats/notebooks/1-datasets-uproot.ipynb b/machine-learning-hats/notebooks/1-datasets-uproot.ipynb
diff --git a/machine-learning-hats/notebooks/2-boosted-decision-tree.ipynb b/machine-learning-hats/notebooks/2-boosted-decision-tree.ipynb
diff --git a/machine-learning-hats/notebooks/2-dense.md → machine-learning-hats/notebooks/3-dense.md b/machine-learning-hats/notebooks/2-dense.md → machine-learning-hats/notebooks/3-dense.md
diff --git a/...ning-hats/notebooks/2.1-dense-keras.ipynb → ...ning-hats/notebooks/3.1-dense-keras.ipynb b/...ning-hats/notebooks/2.1-dense-keras.ipynb → ...ning-hats/notebooks/3.1-dense-keras.ipynb
diff --git a/...ng-hats/notebooks/2.2-dense-pytorch.ipynb → ...ng-hats/notebooks/3.2-dense-pytorch.ipynb b/...ng-hats/notebooks/2.2-dense-pytorch.ipynb → ...ng-hats/notebooks/3.2-dense-pytorch.ipynb
diff --git a/...oks/2.3-dense-bayesian-optimization.ipynb → ...oks/3.3-dense-bayesian-optimization.ipynb b/...oks/2.3-dense-bayesian-optimization.ipynb → ...oks/3.3-dense-bayesian-optimization.ipynb
diff --git a/...ne-learning-hats/notebooks/3-conv2d.ipynb → ...ne-learning-hats/notebooks/4-conv2d.ipynb b/...ne-learning-hats/notebooks/3-conv2d.ipynb → ...ne-learning-hats/notebooks/4-conv2d.ipynb
diff --git a/...-learning-hats/notebooks/4-gnn-cora.ipynb → ...-learning-hats/notebooks/5-gnn-cora.ipynb b/...-learning-hats/notebooks/4-gnn-cora.ipynb → ...-learning-hats/notebooks/5-gnn-cora.ipynb
diff --git a/...learning-hats/notebooks/5-vae-mnist.ipynb → ...learning-hats/notebooks/6-vae-mnist.ipynb b/...learning-hats/notebooks/5-vae-mnist.ipynb → ...learning-hats/notebooks/6-vae-mnist.ipynb
diff --git a/...learning-hats/notebooks/6-gan-mnist.ipynb → ...learning-hats/notebooks/7-gan-mnist.ipynb b/...learning-hats/notebooks/6-gan-mnist.ipynb → ...learning-hats/notebooks/7-gan-mnist.ipynb
diff --git a/requirements.txt b/requirements.txt
@@ -10,4 +10,5 @@ pandas
 torch
 ipykernel
 tqdm
-jupyter
+jupyter
+xgboost
-Original file line number
+Diff line change
@@ Expand Up / @@ -10,4 +10,5 @@ pandas @@
     torch
     ipykernel
     tqdm
-    jupyter
+    jupyter
+    xgboost