Software Resource - Fall 2020
  • Introduction
  • Anaconda
    • Getting started
    • Managing conda environments
      • Using Navigator
      • Using Terminal
      • Issues using zsh shell
    • Jupyter Notebook
  • Finite Element (FEniCS)
    • Getting started
    • Tutorial
  • Black Box (ML libraries)
    • Tensorflow
    • Pytorch
    • Scikit-learn
    • GPU acceleration
  • Version Control (Git)
    • Getting started
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  1. Black Box (ML libraries)

Scikit-learn

Scikit-learn is a popular ML library with many classification/regression models and data processing functions. However, it's not intended for deep learning since it does not support GPU acceleration.

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Last updated 4 years ago

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The scikit-learn library includes many useful functions for processing datasets, including cross-validation, spliting datasets for training and testing, etc.

scikit-learn: machine learning in Python — scikit-learn 1.0.2 documentation
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