yellowbrick VS kmodes

Compare yellowbrick vs kmodes and see what are their differences.

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection. (by DistrictDataLabs)
Machine Learning visual-analysis model-selection Visualization scikit-learn Visualizer Matplotlib Python estimator Anaconda
Source Code
scikit-yb.org
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kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data (by nicodv)
Python clustering-algorithm k-modes k-prototypes scikit-learn
Source Code
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yellowbrick kmodes
2 2
4,192 1,213
0.6% -
2.8 4.9
9 months ago 3 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

yellowbrick

Posts with mentions or reviews of yellowbrick. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

kmodes

Posts with mentions or reviews of kmodes. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing yellowbrick and kmodes you can also consider the following projects:

Anaconda - Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

itermplot - An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

fpdf2 - Simple PDF generation for Python

Dask - Parallel computing with task scheduling

sports-betting - Collection of sports betting AI tools.

MinSizeKmeans - A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)

scikit-survival - Survival analysis built on top of scikit-learn

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

seaborn-image - High-level API for attractive and descriptive image visualization in Python

leidenalg - Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

yellowbrick vs Anaconda kmodes vs best-of-ml-python yellowbrick vs itermplot kmodes vs data-science-ipython-notebooks yellowbrick vs fpdf2 kmodes vs Dask yellowbrick vs sports-betting kmodes vs MinSizeKmeans yellowbrick vs scikit-survival kmodes vs orange yellowbrick vs seaborn-image kmodes vs leidenalg