Colin Jaffe
Colin Jaffe is a programmer, writer, and teacher with a passion for creative code, customizable computing environments, and simple puns. He loves teaching code, from the fundamentals of algorithmic thinking to the business logic and user flow of application building—he particularly enjoys teaching JavaScript, Python, API design, and front-end frameworks.
Colin has taught code to a diverse group of students since learning to code himself, including young men of color at All-Star Code, elementary school kids at The Coding Space, and marginalized groups at Pursuit. He also works as an instructor for Noble Desktop, where he teaches classes in the Full-Stack Web Development Certificate and the Data Science & AI Certificate.
Colin lives in Brooklyn with his wife, two kids, and many intricate board games.
Learning Resources by Colin Jaffe
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Understanding Random Forest Classifiers: How They Work
Random forest classifiers combine multiple diverse decision trees to accurately predict outcomes. Discover how randomness creates robust models that effectively handle Titanic-sized data challenges.
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Linear Regression: Predicting Relationships in Data
Discover how linear regression unlocks the power of prediction and starts your journey into machine learning. Learn to visualize data patterns and find the best-fit line, minimizing variance for accurate insights.
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Model Accuracy: Impact of Outliers and Dataset Size
Struggling with inconsistent results from your machine learning models? Discover how handling outliers and addressing limited data size can dramatically influence your model's accuracy and reliability.
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Train-Test Split for Predictive Modeling in Python
Splitting your dataset into training and testing sets is crucial for building accurate machine learning models. Learn how one simple line of code can perfectly organize your data into standard, industry-recognized splits.
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Visualizing Survival and Class Distribution in Titanic Data Analysis
Exploring Titanic survival rates reveals a sobering reality: many more passengers perished than survived. But how did passenger class influence these odds—did first-class passengers fare better?
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