[FIXED] SOLVED: How do I import scikit-learn in a jupyter notebook?

Issue

I created a fresh conda environment for using scikit-learn and used conda install <package> to install scikit-learn, jupyter, pandas, etc. for compatible dependencies..

I checked if sklearn was working after loading the environment:

$python
Python 3.7.4 (default, Aug 13 2019, 15:17:50)
[Clang 4.0.1 (tags/RELEASE_401/final)] :: Anaconda, Inc. on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import sklearn
>>>

Since import command didn't throw errors, sklearn is ready for use. However, I am getting a ModuleNotFoundError while trying to import it in a jupyter notebook, that I am running from the same environment.

import sklearn
---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-1-b7c74cbf5af0> in <module>()
----> 1 import sklearn

ModuleNotFoundError: No module named 'sklearn'

I was able to import numpy and pandas in the same notebook without any errors.

Using packages in environments is new to me and I am learning from experience. Please help me understand the problem and how to troubleshoot it.

Solution

Best practice: Install everything via conda or pip3, as mentioned in this answer.

If that didn't work, check the system paths in jupyter notebook:

import sys
sys.path

and the system executable:

sys.executable

These must correspond to the python in your current loaded environment.

For me, the issue was with the jupyter Notebook's kernel. See the kernel specifications in kernel.json file in the path. You can find the directory for this file from jupyter kernelspec list. I manually changed the python path to the python in my environment (this is a bad idea, but it worked).

Answered By - nac001