Pinned Repositories
assignTags
assignTags efficiently assigns tags to an entity according to the entity's category and subcategory labels.
bigmoneybiking-api
Early work on an API for the react version of my bike touring website.
bigmoneybiking-react
An incomplete version of my website created with react.
bigmoneybiking-web-components
bigmoneybiking.com is where I share my bike touring and hiking adventures.
BloombergTicker
A tool for converting a column of dot formatted tickers in Excel to Bloomberg tickers, which are compatible with the Bloomberg Excel add-in.
Coronavirus-Deaths-Model
For my final project in my big data course (CS 431), I predicted the peak daily deaths and the date on which they will be observed for each continental sub-region based on a logistic growth model. Watch my presentation at: https://www.youtube.com/watch?v=Evu5Cfg-jlA&t=2s
data-visualizations
All my data visualizations
OrcaleDBConn
A class for quickly connecting to your Oracle databases and writing SQL queries that return pandas DataFrames
PortfolioPerformanceAnalysis
An analysis of an imaginary portfolio's performance and risk profile against the HFRX Equity Hedge Index
Strava-Activity-Map
All of my Strava activity (bike rides, runs, hikes, etc.) visualized on a map: https://stravaactivitymap.pythonanywhere.com/
JoBoSo's Repositories
JoBoSo/bigmoneybiking-react
An incomplete version of my website created with react.
JoBoSo/PortfolioPerformanceAnalysis
An analysis of an imaginary portfolio's performance and risk profile against the HFRX Equity Hedge Index
JoBoSo/assignTags
assignTags efficiently assigns tags to an entity according to the entity's category and subcategory labels.
JoBoSo/bigmoneybiking-api
Early work on an API for the react version of my bike touring website.
JoBoSo/bigmoneybiking-web-components
bigmoneybiking.com is where I share my bike touring and hiking adventures.
JoBoSo/BloombergTicker
A tool for converting a column of dot formatted tickers in Excel to Bloomberg tickers, which are compatible with the Bloomberg Excel add-in.
JoBoSo/Coronavirus-Deaths-Model
For my final project in my big data course (CS 431), I predicted the peak daily deaths and the date on which they will be observed for each continental sub-region based on a logistic growth model. Watch my presentation at: https://www.youtube.com/watch?v=Evu5Cfg-jlA&t=2s
JoBoSo/data-visualizations
All my data visualizations
JoBoSo/OrcaleDBConn
A class for quickly connecting to your Oracle databases and writing SQL queries that return pandas DataFrames
JoBoSo/Strava-Activity-Map
All of my Strava activity (bike rides, runs, hikes, etc.) visualized on a map: https://stravaactivitymap.pythonanywhere.com/
JoBoSo/Create-GAS-Batch-Load-File
This ETL program transforms data tables published in the BC Ministry of Forests' Coast and Interior Appraisal Manuals into a CSV file for the purpose of loading it into the General Appraisal System, which calculates stumpage rates based on timber appraisals submitted by Foresters across the province.
JoBoSo/CS431-BigData
Contains code that I wrote in my big data course that I found interesting or useful. Much of the code is related to NLP.
JoBoSo/Finance
JoBoSo/FinancialAnalysis
Returns financial metrics and data based on the last five years of a chosen stocks Yahoo Finance historical market data.
JoBoSo/Mortgage-Project
This project explores mortgage attributes at the state-level to identify the most attractive states to open a new mortgage lending business in. It also produces a linear interest rate model based on characteristics of specific mortgages using both backward and forward selection to minimize prediction error and variance inflation factors to identify and eliminate variables that introduced a high degree of multicollinearity.
JoBoSo/NCAA-Prediction-Model
A linear regression model that predicts the percentage of wins that a Division I college basketball team is expected to achieve based on annual team-level measures for each team in the league between 2013 and 2020.
JoBoSo/TheBeatles
An analysis of The Beatles lyrics. See "The Beatles Presentation.pdf".