Classification
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What is Classification?
Classification is a type of supervised learning where the goal is to assign data points to predefined categories or classes. Given a set of labeled data (where each data point has a known class), the algorithm learns a mapping function that can predict the class label for new, unseen data. The output is a discrete value representing the predicted class.
Free resources to learn Classification
More in stage 18: Classification
Classification: common questions
Can I learn Classification in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Classification in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Classification tutorial for beginners?
It is lesson 73 of 150 in the free Machine Learning roadmap, in stage 18, Classification. If you are new to Machine Learning, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.