Understand the main classical supervised-learning model families through their objectives, assumptions, inductive biases, and practical boundaries.
Tutorials
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You have data. You have a prediction goal. And you're stuck on a question that feels like it should be simple: should I use regression or classification?
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Most introductions to linear regression make it sound like drawing a line through some dots. That description is true and almost useless. Any line can be…
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A logistic regression prediction is not a label. It is a probability—and the label is a decision you make on top of that probability.
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Two models trained on the same data can look at a new point and give you sharply different answers. Neither one is broken. Each is answering a different…
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Most machine learning models are hoarders. They keep every training point around and let each one vote on the prediction. A support vector machine is the…
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Regularization is not a magic switch that makes every model better. It is a deliberate trade: you give up a little accuracy on your training data to gain…
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Most classifiers earn their keep by capturing relationships between features. Naive Bayes does the opposite: it assumes those relationships don't exist.…
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Linear regression draws a straight line through continuous numbers. Logistic regression draws an S-curve that outputs probabilities. They look like…
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You fit a straight line to data that clearly curves, and the line misses everything. Not by a little—systematically. It sits above the points in one…
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Most people assume multiclass classification is just binary classification with more labels. It is not. The real problem is that many classical models only…
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Naive Bayes and logistic regression can classify the same dataset with nearly the same accuracy, yet they behave very differently on small samples, missing…
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You have probably heard the advice: "Just use a random forest. Trees handle everything." It sounds practical. It is also how many beginners end up with a…
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Most classification tutorials teach you to pick one answer. A news article is politics or finance. A movie is action or comedy. A support ticket is billing…
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A rating scale looks like it should be either a multiclass problem or a regression problem. Both instincts quietly discard the information that matters…
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