My Blog Posts
2024
- Useful Statistical Correlation Techniques: Pearson, Spearman, and KendallOctober 13th 2024
- Using Visualizations to Analyze Canadian Foreign Direct InvestmentMay 13th 2024
- Granger Causality and Cross-correlation in Python: Why Data Science is a ScienceFebruary 27th 2024
- Building PlantTime.com - a Plant Recommendation System (Using AWS DynamoDB, Cloudformation, Lambda, and a CI/CD Github Workflow)January 5th 2024
2023
- Let’s talk Data Structures, Algorithms, and Python (Stacks, Heaps)June 19th 2023
- Using PostgreSQL to Build an Object-relational Database and Write Parametric QueriesMay 12th 2023
- Using Python to Build an XGBoost Prediction Model: Penguin Weight PredictionApril 26th 2023
- Window Functions, Variables, Date Manipulation, Imputation, and Loops in SQL ServerMarch 28th 2023
- Using MS SQL and Power BI: The Correlation Between Home Runs and Total Career EarningsFebruary 28th 2023
- Why XGBoost is The Best Machine Learning ToolJanuary 17th 2023
2022
- Using MySQL to Create a Simple Database and Write QueriesOctober 29th 2022
- A Short Python Tutorial For My Favourite Visualization: The Exploding Pie ChartOctober 13th 2022
- My Personal Thoughts on Nobel-Prize Winning Economist Ben BernankeOctober 11th 2022
- What Does “Machine Learning” Mean? Random Forest Walk, Linear Regression, and Other Common AlgorithmsSeptember 28th 2022
- Python for Finance: Variance, Volatility, and Matrix MultiplicationSeptember 10th 2022
- Prologue: Introspective Growth - What is “Invisible Learning”?August 7th 2022