Scikitlearn Alternatives
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Reviews and mentions

ScikitLearn Version 1.0
Just to clarify, scikitlearn 1.0 has not been released yet. The latest tag in the github repo is 1.0.rc2
https://github.com/scikitlearn/scikitlearn/releases/tag/1....

Top 10 Python Libraries for Machine Learning
Website: https://scikitlearn.org/ Github Repository: https://github.com/scikitlearn/scikitlearn 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/scikitlearn/scikitlearn/blob/main/sklearn/metrics/_base.py

Use ScikitLearn and Runflow
If you're not familiar with Scikitlearn and Runflow,

Confused as to what exaclty a piece of code does
well you can start at https://github.com/scikitlearn/scikitlearn/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 ScikitLearn, 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?
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
The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikitlearn, 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/scikitlearn/scikitlearn/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
Download Scikitlearn or visit its GitHub repo to learn more.
Scikitlearn is a free and opensource software for data analysis and data mining tasks. It is also used to build machine learning models and works efficiently with complex data. Scikitlearn 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
scikitlearn/scikitlearn is an open source project licensed under BSD 3clause "New" or "Revised" License which is an OSI approved license.
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