John Canque

Finance, Data Science, and Stoicism

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Category: Data Science Basics

Effective Data Segmentation: K-Means Clustering and Beyond

Posted on October 27, 2024October 27, 2024 by admin

Clustering algorithms are a subset of unsupervised learning techniques that group data points based on similarities without targets. Unlike supervised learning, which uses labeled data to predict outcomes, unsupervised learning discovers inherent structures within the data. Clustering can uncover insights about the

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Posted in Data Science Basics

Bias Variance Tradeoff

Posted on January 20, 2023January 20, 2023 by admin

After applying a model to a problem, a natural thought is to wonder if our models are any good. One way to look at this is to check how it would do in many different situations, aka expected generalization error. We want

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Posted in Data Science Basics, uncategorized

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