Plot categorical heatmaps with seaborn

Perform a chi-square independence test.

Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder

A python package for plotting Evidence Gap Maps using Plotly

A simple preprocessing method for Machine Learning

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

Associated to SAMO paper

Extensions and additions to vcd: Visualizing Categorical Data

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)

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

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

Data on Youtube trending videos , cleaning and EDA

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