Innovation of Practical Teaching Mode of Marketing Major-Market Research and Forecast under the Background of Big Data

Abstract

Under the background of big data, this paper innovates the practical teaching mode of marketing major. Taking the tourism website as an example, aiming at the low retention, conversion rate and loyalty of website users, it adopts the machine learning technology of logistic regression to carry out market survey and user behavior prediction for website users. The model is established to preprocess the behavior data set of website users, classify the data set according to a fixed proportion, and verify that the classification of the data set follows the same statistical distribution. Finally, the corresponding model of logistic regression machine learning algorithm is established to predict the behavior of website users. The prediction results show that the model can accurately predict the behavior of website users, so as to understand the preferences of users, help students better formulate marketing strategies, and improve their marketing practice ability.