Other
- August 2024 - Useful Statistical Correlation Techniques: Pearson, Spearman, and Kendall
- May 2024 - Using Visualizations to Analyze Canadian Foreign Direct Investment
- January 2024 - PROJECT: Building PlantTime.com - a Plant Recommendation System (Using AWS DynamoDB, Cloudformation, Lambda, and a CI/CD Github Workflow)
- July 2023 - Granger Causality and Cross-correlation in Python: Determining if the VIX Index is a Reliable Predictor of Foreign Direct Investment in Canada
- June 2023 - Let’s talk Data Structures, Algorithms, and Python (Stacks, Heaps)
- May 2023 - Using PostgreSQL to Build an Object-relational Database and Write Parametric Queries
- April 2023 - Using Python to Build an XGBoost Prediction Model: Penguin Weight Prediction
- March 2023 - Window Functions, Variables, Date Manipulation, Imputation, and Loops in SQL Server
- February 2023 - Using MS SQL and Power BI: The Correlation Between Home Runs and Total Career Earnings
- January 2023 - Why XGBoost is The Best Machine Learning Tool (Intro)
- October 2022 - Using MySQL to Create a Simple Database and Write Queries
- October 2022 - A Short Python Tutorial For My Favourite Visualization: The Exploding Pie Chart
- October 2022 - Bonus Blog Post: My Personal Thoughts on Nobel-Prize Winning Economist Ben Bernanke
- September 2022 - What Does “Machine Learning” Mean? Random Forest Walk, Linear Regression, and Other Common Algorithms
- September 2022 - Python for Finance: Variance, Volatility, and Matrix Multiplication
- August 2022 - PROLOGUE: Introspective Growth - What is “Invisible Learning”?