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Topic: "categorical"

schlegelp/catheat

Plot categorical heatmaps with seaborn

Language: Python - Size: 32.2 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 18 - Forks: 7

stdlib-js/stats-chi2test

Perform a chi-square independence test.

Language: JavaScript - Size: 7.43 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 8 - Forks: 0

kristpapadopoulos/categorical-variational-autoencoder

Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder

Language: Python - Size: 91.8 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 2

mb7419/egm

A python package for plotting Evidence Gap Maps using Plotly

Language: Python - Size: 1.22 MB - Last synced at: 13 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0

Metalkiler/Cane-Categorical-Attribute-traNsformation-Environment

A simple preprocessing method for Machine Learning

Language: Python - Size: 542 KB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 4 - Forks: 3

python-qds/qdscreen

Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)

Language: Python - Size: 2.43 MB - Last synced at: 25 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

mid2SUPAERO/linearized_bilevel_mixedoptim

Associated to SAMO paper

Language: Python - Size: 5.86 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 0

giulia290102/Code-for-B.Sc-Thesis-Analysing-DASS-through-Structural-Equation-Modeling

The following codes were used to conduct Confirmatory Factor Analysis and Structural Equation Modeling in R, and Multiple Group Analysis in R for my thesis entitled "Analysing DASS through Structural Equation Modeling". Note: THE DATA USED IS NOT MY OWN AND WAS OBTAINED FROM Open-Source Psychometrics Project (https://fhssrsc.byu.edu/r-works)

Language: R - Size: 8.83 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Mysterio1248/PRODIGY_DS_01

Visualize gender-based employment status and recruitment sources using stacked bar plots in Python.

Language: Jupyter Notebook - Size: 62.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

SobhikaMahajan/Disney-and-Hotstar-analysis

EDA / Data Visualization of Hotstar Shows

Language: Jupyter Notebook - Size: 589 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sagar2168616/Youtube-trending-videos-EDA

Data on Youtube trending videos , cleaning and EDA

Language: Jupyter Notebook - Size: 398 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

ShrishailSGajbhar/ml_proj_template

ML project template created while following the Abhishek Thakur's youtube video

Language: Python - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

sandeepyadav10011995/Data-Science-Advanced-Statistics-ML

Fun Project -: Playing with the statistics. Main Motto -: Trying to understand the statistics underneath the various most commonly used Machine Learning Models. I have used two library i.e. Stats-Model and Scikit-Learn.

Language: Jupyter Notebook - Size: 432 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

guhjy/sufrep Fork of grf-labs/sufrep

Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1

Size: 23.6 MB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

guhjy/vcdExtra Fork of friendly/vcdExtra

Extensions and additions to vcd: Visualizing Categorical Data

Language: R - Size: 4.19 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0