James Twose's Projects
Comparison of api vs tile server for rendering GIS data
A link grabber and text summarizer app.
Research collaborations between Hannah McConchie and James Twose
Using Deta to create a small standalone health app.
Github profile README of the Data Scientist and Musician - James Twose
Essentially a repository of exploratory data analyses of James Twose's Fitbit data.
Tracking jms as he goes through life.
A full REST API that could be used as the back end for a social media platform. The documentation for the API can be found here:
The static website showing the latest drawing learnings of James Twose.
Python package of functions that James finds useful. For documentation, please click the link:
Rust crate of functions that James finds useful. For documentation, please click the link:
An open source power analysis/ sample size calculator dashboard hosted on shinyapps.io
The Fast API backend of a personal tracker
Creating a dashboard using dash and plotly (python), with rudimentary authentication for users to be able to view their jmstracker data.
Using node to create a frontend for the jmstracker
This is a repository of small projects used to learn and get better at programming in javascript.
Learning how to work with Kubeflow locally to do MLOps.
Looking into how to build packages/ code with C/ C++ and python.
A repo of my attempts at learning terraform (Docker, GCP, azure, AWS).
Using the base estimator branch from sklearn as an example to learn travis and Github Actions for continuous integration of a package build and including pushing the documentation to a static web address.
A means of learning jquery. Output can be seen here:
Using an example python package to learn continuous integration of a package build and including pushing the documentation to a static web address.
Learning C# via running Data Science and machine learning projects
Learning go(lang) via running Data Science and machine learning projects
Attempting to learn java via machine learning projects.
Learning the Julia language via running Data Science and machine learning projects
Learning rust via running Data Science and machine learning projects
A simple email surveyor stack that automatically sends emails and compiles the responses to said emails in a table.
A repository for Data Science collaborations between Mike and James, mainly aimed at modeling/ forecasting trends in prices.