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)

Perform a chi-square independence test.

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

A simple preprocessing method for Machine Learning

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