Lasso vs Ridge Regression: A Practical Comparison
Both Lasso and Ridge add a penalty to linear models to prevent overfitting — but they behave very differently. Here's when to use each and how to implement both.
Christopher A. Rotunno 2 min read
Analytics Engineer · Super Intelligence
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35 articles · Page 3 of 5
Titanic: Machine Learning from Disaster
The Titanic dataset is the classic ML classification benchmark. Here's a full walkthrough — feature engineering, Random Forest, Logistic Regression, and what the results actually mean.
Christopher A. Rotunno 2 min read
How to Use Grid Search for Hyperparameter Tuning
Grid Search exhaustively evaluates every combination in a parameter grid using cross-validation. Here's how it works, when to use it, and a complete implementation with Scikit-Learn.
Christopher A. Rotunno 1 min read
How to Use Randomized Search for Hyperparameter Tuning
When your parameter space is too large for Grid Search, Randomized Search samples combinations efficiently. Here's how it works and when it outperforms the exhaustive alternative.
Christopher A. Rotunno 2 min read
Analyzing Financial Ratios Using the Finance Toolkit Ratios Module
A hands-on tour of the Finance Toolkit's Ratios Module in Python, using real output for Apple, Amazon, Meta, and Walmart to compare profitability, liquidity, efficiency, and valuation.
Christopher A. Rotunno 8 min read
Interpreting Federal Reserve Policy Through the Eras: A FRED Data Analysis
A data-driven look at how U.S. monetary policy has evolved across Fed chairmanships, from Volcker's disinflation to Powell's pandemic-era policy, using FRED economic data.
Christopher A. Rotunno 4 min read
R in Action: Analyzing the Iris Dataset
A hands-on walkthrough of exploratory data analysis using R's built-in Iris dataset — aggregate functions, median comparisons, and what the numbers actually tell us about species differentiation.
Christopher A. Rotunno 3 min read