turnover in epidemic models: a unified framework and exploring the influence on model outputs
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Updated
Aug 5, 2020 - Python
turnover in epidemic models: a unified framework and exploring the influence on model outputs
Propensity scores in complex surveys
This folder content the machine-learning-algorithms model test
Seedstars PHP challenge
The goal of this project is to perform an Explorartory Data Analysis with visualization and use a liner regression model to predict the number of bikes rented.
"Sustainable Future with Recycling Culture" aims to reduce unrecycled waste in Turkey through training programs and awareness campaigns.
Instead of calling for withdrawal of all classified drugs please see it like us saying beef to avoid having to say cow. If you remove cows, you will get much bigger issues than wanted a steak rare. So how many people think we should remove morphin?
A repository created to explore and understand Statistics through coding.
Final Project for my class Politics of Code. An art project that tells a story about the transformation of a user to an inaccurate abstraction.
This project developed to study and apply the most recent features of JUnit 5 | The main functionality of this software is provide some benefits for customers based on their level of loyalty.
scoping review of heterogeneity and mixing in dynamical models of HIV transmission [JK PhD]
Regression and Statistical analysis of crimes in Chicago from 2015 until 2020.
Resources and templates for documenting analytical workflows, assumptions and limitations.
Estimating the effective reproduction number Re(t) for COVID19 in GTA, Canada
Final Year Project: Web-based Argumentation
A shikaku (Japanese logic puzzle) solver using assumptions and cache.
writR: is an R package for automated inferential testing (for group differences) and reporting based on parametric assumptions, which are tested automatically for test selection.
Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)
Generate assumptions and caveats logs from code comments.
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