diff --git a/handson-ml-master/requirements.txt b/handson-ml-master/requirements.txt
index 0a885c1..13f84ad 100644
--- a/handson-ml-master/requirements.txt
+++ b/handson-ml-master/requirements.txt
@@ -27,13 +27,13 @@
 ##### Core scientific packages
 jupyter==1.0.0
 matplotlib==3.0.3
-numpy==1.16.2
+numpy==2.4.1
 pandas==0.24.1
 scipy==1.10.0
 
 
 ##### Machine Learning packages
-scikit-learn==0.20.3
+scikit-learn==1.5.0
 
 # Optional: the XGBoost library is only used in the ensemble learning chapter.
 xgboost==0.82
@@ -45,7 +45,7 @@ xgboost==0.82
 # you need a GPU card with CUDA Compute Capability 3.0 or higher support, and
 # you must install CUDA, cuDNN and more: see tensorflow.org for the detailed
 # installation instructions.
-tensorflow==1.13.1
+tensorflow==2.12.1
 #tensorflow-gpu==1.13.1
 
 
@@ -59,7 +59,7 @@ tensorflow==1.13.1
 
 ##### Image manipulation
 imageio==2.5.0
-Pillow==10.0.1
+Pillow==10.3.0
 scikit-image==0.14.2
 
 
@@ -70,13 +70,13 @@ scikit-image==0.14.2
 
 # May be useful with Pandas for complex "where" clauses (e.g., Pandas
 # tutorial).
-numexpr==2.6.9
+numexpr==2.8.5
 
 # Optional: these libraries can be useful in the classification chapter,
 # exercise 4.
-nltk==3.4.5
+nltk==3.9
 urlextract==0.9
 
 # Optional: tqdm displays nice progress bars, ipywidgets for tqdm's notebook support
-tqdm==4.31.1
+tqdm==4.66.3
 ipywidgets==7.4.2