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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I am looking for this course in Telugu language, Is there any possibilities in Telugu.
Nitesh kumar gupta
nice course all the video explained very well from scratch to advance
Overall Lectures are good but also provide the practicing spreadsheets for students.
very good experience
i dont think some one can explain deeply ,practically rathere than this tutor
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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