Perform a chi-square independence test.
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Updated
Feb 2, 2025 - JavaScript
Perform a chi-square independence test.
A simple preprocessing method for Machine Learning
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)
Visualize gender-based employment status and recruitment sources using stacked bar plots in Python.
Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)
EDA / Data Visualization of Hotstar Shows
Data on Youtube trending videos , cleaning and EDA
Plot categorical heatmaps with seaborn
Implementation of the Entity Embedding Encoder
ML project template created while following the Abhishek Thakur's youtube video
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.
A python package for plotting Evidence Gap Maps using Plotly
Associated to SAMO paper
Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder
Extensions and additions to vcd: Visualizing Categorical Data
Add a description, image, and links to the categorical topic page so that developers can more easily learn about it.
To associate your repository with the categorical topic, visit your repo's landing page and select "manage topics."