Merge pull request #7672 from freqtrade/dependabot/pip/develop/scikit-learn-1.1.3

Bump scikit-learn from 1.1.2 to 1.1.3

docs/windows_installation.md

@@ -3,15 +3,16 @@
 We **strongly** recommend that Windows users use [Docker](docker_quickstart.md) as this will work much easier and smoother (also more secure).
 
 If that is not possible, try using the Windows Linux subsystem (WSL) - for which the Ubuntu instructions should work.
-Otherwise, try the instructions below.
+Otherwise, please follow the instructions below.
 
 ## Install freqtrade manually
 
-!!! Note
-    Make sure to use 64bit Windows and 64bit Python to avoid problems with backtesting or hyperopt due to the memory constraints 32bit applications have under Windows.
+!!! Note "64bit Python version"
+    Please make sure to use 64bit Windows and 64bit Python to avoid problems with backtesting or hyperopt due to the memory constraints 32bit applications have under Windows.
+    32bit python versions are no longer supported under Windows.
 
 !!! Hint
-    Using the [Anaconda Distribution](https://www.anaconda.com/distribution/) under Windows can greatly help with installation problems. Check out the [Anaconda installation section](installation.md#Anaconda) in this document for more information.
+    Using the [Anaconda Distribution](https://www.anaconda.com/distribution/) under Windows can greatly help with installation problems. Check out the [Anaconda installation section](installation.md#installation-with-conda) in the documentation for more information.
 
 ### 1. Clone the git repository
 

requirements-freqai.txt

@@ -2,7 +2,7 @@
 -r requirements.txt
 
 # Required for freqai
-scikit-learn==1.1.2
+scikit-learn==1.1.3
 joblib==1.2.0
 catboost==1.1; platform_machine != 'aarch64'
 lightgbm==3.3.3

requirements-hyperopt.txt

@@ -3,7 +3,7 @@
 
 # Required for hyperopt
 scipy==1.9.3
-scikit-learn==1.1.2
+scikit-learn==1.1.3
 scikit-optimize==0.9.0
 filelock==3.8.0
 progressbar2==4.1.1