Linear regression Machine Learning Algorithm scikit-learn

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The linear regression algorithm is one of the basic machine learning algorithms. Probably, you are familiar with this term in statistics. This is actually a method of statistics. And now, it is one of the most popular methods of machine learning algorithms. It is so popular because it is a very simple algorithm. Sir Francis Galton is said to have invented regression. He first used regression in statistics.

Definition of Regression

Linear Regression analysis is a predictive modeling technique that investigates the relationship between a dependent and independent variable.
In linear regression analysis, we draw a graphical line that most closely fits the overall shape of the data.

What are the uses of Linear regression?

There are many uses of regression analysis. It is broadly used for machine learning models Like

  • Forecasting and effect
  • Prediction price
  • Sales estimate
  • Analyzing the effect of price changing
  • Trend forecasting and many more.

Read More: Decision Tree Machine Learning Algorithm with Python Code


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About Anisur Rahman Shahin

Hello. My name is Shahin. I'm a tech enthusiast guy. Personally, I’m an Optimistic and always in hurry kinda person. I'm a freelance web developer. I am working at Zakir Soft as Laravel Developer. My Portfolio website: https://tutspack.com

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