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Government of Alberta
- Edmonton, AB
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14:42
(UTC -06:00) - sky.winston-server.com
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A collection of custom widgets for Glance made by the community
SkyAllinott / glance
Forked from glanceapp/glanceA self-hosted dashboard that puts all your feeds in one place
Unsupervised and XGBoost models to Predict Fraud.
Python script that generates LaTeX code to write Game Theory Matrices
Using R to create an ARMA forecast of Canadian GDP until December 2021.
Visualizing COVID-19 World Health data given at: https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide
SkyAllinott / LoLaTeXcv
Forked from kryzar/LoLaTeXcvLoLaTeXcv is curriculum vitae class for LaTeX. It comes as a single file class, and might be great for you if you like organizing your curriculum vitae using lists.
SkyAllinott / Learn-Tableau-for-Data-Viz
Forked from Codecademy-Curriculum/Learn-Tableau-for-Data-VizRepository for relevant datasets.
SkyAllinott / cheatsheets
Forked from rstudio/cheatsheetsRStudio Cheat Sheets
Utilizes Newtons Method to calculate the root of a function. Only input required is the function, initial guess, tolerance, and iterations.
Comparing univariate and bivariate time series models to forecast Canadian investment.
Comparing a tuned neural network to a simply tuned XGBoost model.
Utilize XGBoost and custom dataset.
Forecasting hourly energy with complex seasonality.
Forecasting the daily mean temperature in Edmonton using Prophet, NNETAR, XGBoost, and SARIMA models. Data constructed from City of Edmonton Open Data portal.
Custom dataset used for Master's thesis.
Answer variety of business questions on synthetic dataset.
Takes the list of characters on a letter combination lock and tells you what words the lock can spell.
Translates inputted sentence from user into "yodish."
Documentation and information on my home server lab.
Pulling data from Spotify API and comparing XGBoost, RandomForest and OLS to predict song popularity.
LASSO and Boosting for predicting employee retention.