pip install sklearn

>pip install sklearn
Collecting sklearn
Using cached sklearn-0.0.tar.gz (1.1 kB)
Collecting scikit-learn
Downloading scikit_learn-0.23.2-cp36-cp36m-win_amd64.whl (6.8 MB)
|████████████████████████████████| 6.8 MB 77 kB/s
Requirement already satisfied: numpy>=1.13.3 in c:\users\xxxxx\anaconda3\envs\tensorflow_gpu\lib\site-packages (from scikit-learn->sklearn) (1.19.1)
Requirement already satisfied: scipy>=0.19.1 in c:\users\xxxxx\anaconda3\envs\tensorflow_gpu\lib\site-packages (from scikit-learn->sklearn) (1.4.1)
Collecting joblib>=0.11
Downloading joblib-0.17.0-py3-none-any.whl (301 kB)
|████████████████████████████████| 301 kB 68 kB/s
Collecting threadpoolctl>=2.0.0
Using cached threadpoolctl-2.1.0-py3-none-any.whl (12 kB)
Building wheels for collected packages: sklearn
Building wheel for sklearn (setup.py) ... done
Created wheel for sklearn: filename=sklearn-0.0-py2.py3-none-any.whl size=1320 sha256=82d9309ea2c1937990f3343f3ad8c9f4e2a8321ea053023e24bb78b0c215e444
Stored in directory: c:\users\xxxxx\appdata\local\pip\cache\wheels\23\9d\42\5ec745cbbb17517000a53cecc49d6a865450d1f5cb16dc8a9c
Successfully built sklearn
Installing collected packages: joblib, threadpoolctl, scikit-learn, sklearn
Successfully installed joblib-0.17.0 scikit-learn-0.23.2 sklearn-0.0 threadpoolctl-2.1.0