ANALYSIS OF UDEMY COURSES BASED ON MACHINE LEARNING ALGORITHM

Abstract

The main objective of this study is to examine the impact of number of subscribers based on the price, number of reviews, number of lectures and content duration of Udemy courses. For that collected the dataset of course id, course title, price, number of subscribers, number of reviews, number of lectures, level, content duration and subject of the Udemy courses. After that created the training and testing dataset to provide accurate evaluation. A simple linear regression fits the linear model with coefficients taken to minimize the error between the independent variables and dependent variables by the linear approximation using sklearn package to model the data. Finally evaluation of the model is compared the different model evaluation metrics of Mean Absolute Error, Mean Squared Error and Root Mean Squared Error for the features taken to improve the number of subscribers in Udemy course.