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Saed Sayad

The Data Mining Map

An introduction to data science, rebuilt from the tutorials trusted by a million learners since 2010. Follow the map top to bottom — or jump straight to any topic. Every node is a tutorial.

Foundations

What data mining is, how a project is framed, and how models ship.

Data Exploration

See your data clearly before you touch a model.

Data Preparation

Encodings and binning — getting raw columns model-ready.

Classification

Predicting categories, from ZeroR baselines to SVMs.

Regression

Predicting numbers: linear models, trees, and neighbors.

Clustering

Finding structure in unlabeled data.

Association Rules

Discovering co-occurrence patterns in transactions.

Model Evaluation

Measuring whether a model actually works.

Resources

Where to go next.

41 tutorials · Start with Data Mining if you're new, or Model Evaluation if you're shipping.