The link between two quantitative variables is estimated using simple linear regression. When you need to know the following, you can apply simple linear regression. What is the strength of the association between two variables? (e.g. the relationship between rainfall and soil erosion).
To model the relationship between two continuous variables, simple linear regression is utilised. The goal is frequently to anticipate the value of an output variable (or responder) based on the value of an input variable (or predictor).
One of the most basic and widely used Machine Learning methods is linear regression. It's a statistical technique for performing predictive analysis. Sales, salary, age, product price, and other continuous/real or numeric variables are predicted using linear regression.
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Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
5
very nicely explained
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Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
M
Mohd Mushraf
5
Amazing Teaching
J
Juboraj Juboraj
5
Easy to understand & explain details.
J
Joydeb
5
Awesome Course sir and your teaching style is very GOOD.
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Shaga Chandrakanth Goud
5
Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld
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Neel Khairnar
5
Kushal is very good explainer he is covering all topics nicely 👍
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