It is highly recommended that you use isolated environments when developing in Python. So let’s update the package or install it if it’s missing.įor Conda: # To install in the root environmentįor Pip:‌ # To install in the root environmentĪctivate Conda or venv Python environment The most common reason for this error is that the scikit-learn package is not installed in your environment or an outdated version is installed. Upgrade or install scikit-learn package via Conda or Pip We can do this by running: pip install -upgrade pip Upgrade or install pip for Pythonįirst things first, let's check to see if we have the up to date version of pip installed.

One sanity check is to run conda info in your terminal, which if it returns anything likely means you are using Conda. If you have not explicitly installed and activated Conda, then you are almost definitely going to be using Pip. It's important to know what you are using before we continue with the fix. It is common for developers to use either Pip or Conda for their Python package management.

Upgrade or install Jupyer Notebook package Are you installing packages using Conda or Pip package manager?.

Check if you are activating the environment before running.

Upgrade or install scikit-learn package.

In order to find the root cause of the problem we will go through the following potential fixes:

ModuleNotFoundError: No module named 'sklearn' Your error, whether in a Jupyter Notebook or in the terminal, probably looks like one of the following: ModuleNotFoundError: No module named sklearn The error is likely an environment issue whereby the scikit-learn package has not been installed correctly on your machine, thankfully there are a few simple steps to go through to troubleshoot the problem and find a solution. The error “ModuleNotFoundError: No module named sklearn' is a common error experienced by data scientists when developing in Python.

Conda install sklearn