What is Logistic Regression | Data Science | Machine Learning Interview Question #algorithm #python

What are the assumptions of logistic regression?
What is the sigmoid function and how is it used in logistic regression?
How do you interpret the coefficients in logistic regression?
What techniques are used to evaluate the performance of a logistic regression model?
Can logistic regression handle multicollinearity among predictor variables?
How does regularization help improve logistic regression models?
What are some common applications of logistic regression in real-world scenarios?
How do you deal with imbalanced datasets in logistic regression?
What is the difference between logistic regression and other classification algorithms like SVM and decision trees?
How can logistic regression be extended to handle multi-class classification problems?
What are the advantages and limitations of logistic regression?
How does logistic regression handle missing data?
What considerations should be made when interpreting the odds ratios produced by logistic regression?#logistics regression #logistic regression machine learning #logistic regression in python #machine learning algorithms #logistic regression example #logistic regression algorithm #logistic regression model #data science algorithms #machine learning tutorial #data science tutorial #what is logistic regression #how does logistic regression work #logistic regression machine learning python #logistic regression in r #simplilearn #simplilearn machine learning #algorithm #problemsolving #python