caromimo Goto Github PK
Name: Caroline Mimeault
Type: User
Location: Ottawa
Caroline Mimeault's Projects
babynames
The Shiny app from this tutorial can be seen at the following link:
collaboration_in_aquaculture
Presentation on scientific collaboration in Canadian aquaculture R&D
converting_ctd_to_csv_files
coursera_video_downloader
A script to automatically download the videos of registered coursera courses
data-from-pdf
Scripts to extract data from tables in PDF files, validate the data, standardized it and visualize (at least a small part) the data. The PDF files are here: https://mowi.com/caw/sustainability/wild-salmonid-lice-monitoring/. The beginning of a Shiny App for a small part of the 2016- 2020 data is here: https://sea-lice-knludptagq-uc.a.run.app/.
datasciencecoursera
Data Science Specialization from the John Hopkins University offered on Coursera
datasharing
The Leek group guide to data sharing
dengai_r
Our collaborative work on dengAI
dependency-analysis
Output can be seen here: https://caromimo.github.io/dependency-analysis/
deploys
dexa-expert
Get insight from your dexa scan results
dogs-vs-cats
Image classification challenge on Kaggle
elvar_website
Data and files to build elvar.ca
ethernet
explorations
Experiments with R
fast-api-server
ffkiosk
Kiosk browser software based on Mozilla's XUL platform
flight-widget
Following tutorial video from Ania Kubow (https://www.youtube.com/watch?v=_uSrE-gIdFc)
flu
Learning to use ipython notebook
flu-shot-learning
My code for the Driven Data Glory competition called "Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines"
hello_pandas
Learning to make simple plots with pandas
incidental-catches
is-it-a-bird
API answering the question on everybody's mind: Is it a bird?
itsg
Information Technology Security Guidance (ITSG-33) control catalogue API
jeux-du-jeudi-peche
Challenges from the Biostatique YouTube channel
k8s-hello-world
kaggle-restaurant-visitor-forecasting
kaggle-titanic
Code for the Kaggle Titanic learning competition
kamalpha.org
code for the kamalpha website
khan-exercises
A framework for building exercises to work with Khan Academy.
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