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  1. Sep 2, 2024 · Linear regression is a type of supervised machine learning algorithm that computes the linear relationship between the dependent variable and one or more independent features by fitting a linear equation to observed data.

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    • Data Pre-processing. The first step for creating the Simple Linear Regression model is data pre-processing. We have already done it earlier in this tutorial.
    • Fitting the Simple Linear Regression to the Training Set: Now the second step is to fit our model to the training dataset. To do so, we will import the LinearRegression class of the linear_model library from the scikit learn.
    • Prediction of test set result: dependent (salary) and an independent variable (Experience). So, now, our model is ready to predict the output for the new observations.
    • visualizing the Training set results: Now in this step, we will visualize the training set result. To do so, we will use the scatter() function of the pyplot library, which we have already imported in the pre-processing step.
  2. Aug 12, 2019 · Learn how to calculate and use a simple linear regression model to predict output values from input values. Follow along with a step-by-step example using a spreadsheet and a shortcut formula.

  3. Learn how to use linear regression to find the relationship between variables and predict future values in Python. See examples, diagrams, and code for scatter plots, slope, intercept, correlation, and prediction.

  4. 2 days ago · It covers simple and multiple linear regression, highlighting their importance, limitations, and practical examples. In this article, we will explore what linear regression is, focusing on simple linear regression and its significance in linear regression statistics.

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  5. Dec 6, 2023 · Learn the basics of linear regression, a statistical and machine learning algorithm for modeling the relationship between input and output variables. Explore different techniques to prepare and train linear regression models, such as Ordinary Least Squares and Gradient Descent.

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  7. Learn how to implement simple linear regression algorithm from scratch using Python. The article explains the math, assumptions, and requirements of this machine learning model, and compares it with Scikit-Learn.