Statistics functions for python
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Updated
Jun 5, 2024 - Python
Statistics functions for python
scmopy: Distribution-Agnostic Structural Causal Models Optimization in Python
Data Activist Project on Gender Pay Gap using boxplot data visualizations
Python code to statistically validate networks in bipartite complex systems
ESA-2SCM for Causal Discovery: Causal Modeling with Elastic Segmentation-based Synthetic Instrumental Variable
A repository for the various functions and programs I've made in the area's of: Data Science, Analytics, Machine Learning & Statistics.
Descriptive and predictive analytics on prescription volume for three outpatient pharmacies.
Implementation of "Statistical & ML Approaches to Depression in the U.S."
Fit an ellipse to 2D data
Built a Diabetes diagnosis prediction model and deployed it on GCP using Dockers and Kubernetes rendering done by Flask API.
Characterize exogenous particles in blood-sample image-sets using machine learning.
Welcome to my portfolio—a showcase where data, design, and strategy unite to tell compelling stories through statistics.
This repository contains code which accompanies the paper: Assessing Model Behaviour on Extreme Counterfactuals (https://www.researchgate.net/publication/360912277_Assessing_Model_Behaviour_on_Extreme_Counterfactuals)
Implementation of "Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning" (JASA, 2023+)
Hidden Markov Model (HMM) is a statistical Markov model in which the system being modelled is assumed to be a Markov process Z with unobservable "hidden" states. HMM assumes that there is another process X whose behaviour "depends" on Z. The goal is to learn about Z by observing X.
Statistical Digital Signal Processing and Modeling
Bayesian inference of stochastic cellular processes with and without memory in Python.
Python package for probabilistic delimiter detection.
Python code for kernel inference - optimal estimation of covariance functions
Use bootstrap resampling to estimate the sampling distribution of a statistic
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