Linear Regression
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What is Linear Regression?
Linear regression is a simple method used to find the best straight line that describes the relationship between a dependent variable (the one you're trying to predict) and one or more independent variables (the ones you're using to make the prediction). It works by finding the line that minimizes the sum of the squared differences between the actual values and the values predicted by the line. This line can then be used to predict the dependent variable for new values of the independent variables.
Free resources to learn Linear Regression
More in stage 19: Regression
Linear Regression: common questions
Can I learn Linear 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 Linear 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 Linear Regression tutorial for beginners?
It is lesson 80 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.