Scikit-learn Alternatives

Similar projects and alternatives to scikit-learn

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better scikit-learn alternative or higher similarity.

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Reviews and mentions

Posts with mentions or reviews of scikit-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-14.
  • Scikit-Learn Version 1.0
    news.ycombinator.com | 2021-09-14
    Just to clarify, scikit-learn 1.0 has not been released yet. The latest tag in the github repo is 1.0.rc2

    https://github.com/scikit-learn/scikit-learn/releases/tag/1....

  • Top 10 Python Libraries for Machine Learning
    dev.to | 2021-09-09
    Website: https://scikit-learn.org/ Github Repository: https://github.com/scikit-learn/scikit-learn Developed By: SkLearn.org Primary Purpose: Predictive Data Analysis and Data Modeling
  • where is binary_metric function in sklearn package
    There is a function named binary_metric in https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/metrics/_base.py
  • Use Scikit-Learn and Runflow
    dev.to | 2021-07-06
    If you're not familiar with Scikit-learn and Runflow,
  • Confused as to what exaclty a piece of code does
    well you can start at https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/model_selection/_validation.py, or maybe someone will guide you later
  • What Makes Python Libraries So Important For Data Science Learning?
    Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc.
  • Is there a way to map cluster centers back to a dataframe?
    To avoid the issue with convergence (and the discrepancy between the labels_ and cluster_centers_), you can set tol=0, though this can of course lead to issues if convergence is a problem. There was an issue about it here. Assuming it's converged, then the order is fine.
  • Any from scratch Hamming Loss implementations?
    reddit.com/r/LearnML | 2021-05-10
    The source code for the function you refer to is quite straightforward anyway. The definition of count_nonzero() is here.
  • Do you know any Python projects on Github that are examples of best practices and good architecture?
    I really like the structure of sklearn
  • Introduction to Machine Learning with Python and Repl.it
    dev.to | 2021-04-26
    The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikit-learn, which makes it possible to do advanced machine learning in a few lines of Python.
  • Beginner's Question: Naive Bayes Implementation for Spam Classification
    Look at the Sklearn implementation and check out some of the differences in the fit method (https://github.com/scikit-learn/scikit-learn/blob/95119c13a/sklearn/naive_bayes.py#L593)
  • Something like The Odin Project but for Python and Machine Learning?
    I would recommend starting with scikit and some popular data set (e.g. titanic).
  • Top 10 Python Libraries
    dev.to | 2021-03-24
    Download Scikit-learn or visit its GitHub repo to learn more.
    dev.to | 2021-03-24
    Scikit-learn is a free and open-source software for data analysis and data mining tasks. It is also used to build machine learning models and works efficiently with complex data. Scikit-learn is built atop other Python libraries, and hence it is interoperable with most of the other Python libraries (NumPy, SciPy, Pandas, etc.)
  • "Biased" SVM classification results for random data?
    PS 2. I have asked this question on Stack Overflow (link) and the sklearn Github (link), with no answer.

Stats

Basic scikit-learn repo stats
22
47,668
9.9
1 day ago

scikit-learn/scikit-learn is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.

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