Regression problems are solved using linear regression, while classification problems are solved using logistic regression. Linear regression yields a continuous result, whereas logistic regression yields discrete results.
By estimating probabilities using a logistic regression equation, it is employed in statistical software to comprehend the relationship between the dependent variable and one or more independent variables. This form of analysis can assist you in predicting the chances of an occurrence or a decision occurring.
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mounika
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How to get dataset
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Saikiran Boddu
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I am looking for this course in Telugu language, Is there any possibilities in Telugu.
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Harsh Raj
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Great
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Nitesh kumar gupta
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nice course all the video explained very well from scratch to advance
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Shubham Maurice
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Overall Lectures are good but also provide the practicing spreadsheets for students.
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Shivam Gautam
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very good experience
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KALAGA NARAYAN
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i dont think some one can explain deeply ,practically rathere than this tutor
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Lavkesh Kushwaha
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West
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Kamran Ahmed
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Helpful course
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sanjeet kumar
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some excercise should be there. I have not studied standerd deviation of population in second module but question has been asked.
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