In machine learning, regression refers to mathematical techniques that allow data scientists to forecast a continuous outcome (y) based on the values of one or more predictor variables (x). Because of its ease of application in predicting and forecasting, linear regression is perhaps the most popular type of regression analysis.
Multiple regression is a statistical method for examining the relationship between numerous independent variables and a single dependent variable. The goal of multiple regression analysis is to predict the value of a single dependent variable by using known independent variables.
The two types of regression analysis approaches utilised to tackle the regression problem using machine learning are linear regression and logistic regression. They are the most often used regression approaches.
When anticipating the likelihood of a given result, such as whether or not a customer would churn in 30 days, "prediction" refers to the output of an algorithm after it has been trained on a previous dataset and applied to new data.
Companies that are developing cutting-edge technologies for generating machine-learning models as well as gathering and managing the massive amounts of data required to train those models are among the 12 trendiest machine-learning startups.
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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)
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Mohd Mushraf
5
Amazing Teaching
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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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