Regression
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What is Regression?
Regression in supervised learning is a method used to predict a continuous numerical value. It works by finding the relationship between input features (independent variables) and a target variable (dependent variable). The goal is to build a model that can accurately estimate the target variable's value based on the given input features. For example, predicting house prices based on size and location is a regression problem.
More in stage 19: Regression
Regression: common questions
Can I learn Regression 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 Regression 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 Regression tutorial for beginners?
It is lesson 79 of 150 in the free Machine Learning roadmap, in stage 19, Regression. 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.