Simple linear regression is a type of regression analysis in which there is only one independent variable and a linear relationship exists between the independent (x) and dependent (y) variables. The red line in the graph above is known as the best fit straight line.
Linear Regression is a supervised learning-based machine learning technique. It runs a regression test. Based on independent variables, regression models a goal prediction value. It is mostly used to determine the link between variables and predicting.
Linear regression is a statistical technique used to analyze the relationship between independent and dependent variables. The steps in linear regression are:
Data collection:
Data transformation:
Model building:
Model estimation:
Model testing and validation.
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Muhammad Fahad Bashir
5
Explained the concept easily
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Pradeep Kumar Kaushik
5
Please give me iris,csv file.
A
Ankit Malik
4
where is the finaldata.csv
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Vimal Bhatt
5
great learning plateform kushal sir is really too good
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