Visualize gender-based employment status and recruitment sources using stacked bar plots in Python.
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Updated
Oct 1, 2023 - Jupyter Notebook
Visualize gender-based employment status and recruitment sources using stacked bar plots in Python.
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)
Extensions and additions to vcd: Visualizing Categorical Data
A python package for plotting Evidence Gap Maps using Plotly
ML project template created while following the Abhishek Thakur's youtube video
Data on Youtube trending videos , cleaning and EDA
Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
Associated to SAMO paper
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.
EDA / Data Visualization of Hotstar Shows
Implementation of the Entity Embedding Encoder
Quasi-determinism screening for fast Bayesian Network Structure Learning (from T.Rahier's PhD thesis, 2018)
Perform a chi-square independence test.
Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder
A simple preprocessing method for Machine Learning
Plot categorical heatmaps with seaborn
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