My most preferred algorithm is Logistic Regression as it is considered to be a powerful statistical way of modeling a binomial result with one or more descriptive variables. It estimates the relationship between the categorical dependent variable and one or more independent variables by determining probabilities using a logistic function, which is the cumulative logistic distribution.
You can refer the following video tutorial based on Logistic Regression:
If you are more into youtube tutorials then here is an awesome video tutorial by Intellipaat which will clear all your doubts regarding the same:
If you are a beginner and want to know more about Machine Learning, then check out this course by Intellipaat which will teach you ML from basics: Machine Learning Course
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