Why Is My Conda Environment Failing to Import sklearn After Clean Install of Anaconda?

Technical Topics
1

Hello

I recently performed a clean install of Anaconda (latest version, Python 3.11) & created a new Conda environment for a machine learning project. :slightly_smiling_face:After installing scikit-learn using conda install scikit-learn; the installation completes without errors. :upside_down_face:

However; when I try to run import sklearn in a Jupyter Notebook or Python script inside that environment; I get a ModuleNotFoundError: No module named 'sklearn'. :upside_down_face:

I have checked the environment with conda list, & scikit-learn does appear to be installed. I have also tried reinstalling the package and even using pip install scikit-learn as a fallback but the issue persists. :innocent:Interestingly; other packages like NumPy and pandas import fine, suggesting this might be a path / environment activation issue specific to sklearn. :slightly_smiling_face:
Checked Environments - Anaconda documentation guide related to this and found it quite informative. As I explore various tools in the data science ecosystem including learning what is alteryx;I want to ensure foundational libraries like scikit-learn work reliably within clean Conda environments. :innocent:

Has anyone else faced a similar problem where only specific packages like sklearn are inaccessible in an otherwise functioning Conda environment? :thinking: Could there be a conflict between Conda & pip installations / is there an issue with scikit-learn compatibility on Python 3.11? :thinking:

Thank you !! :slightly_smiling_face:

2

Hello Reyiyeb,

Can you share with us the conda environment you installed scikit-learn on?

You might be using an environment that has Jupyter Notebook on it, but trying to import scikit-learn which might be in a different conda environment.

you can show us your conda environment with the command conda list