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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G
Gitesh Saini
5
This aap very helpful for human
R
Rishu Baghel
4
sir, can you provide us some table for practice?
S
shams faishal
4
please provide your excel file so it will be easy to learn fast
P
Pintu Kumar
5
improve video quality, because its excel file and the pixel is not good.
J
Juboraj Juboraj
4
Explain details & easy to understand.
M
MD Ayaz Rain
4
powerBI use a data Analysis course in hindi
O
Omkar Jitendra Shinde
4
It is great course
V
Vaibhav Magar
5
I would suggest Absolute reference in 13:30 for the calculation of percentage
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