Factors in local governments’ digitalisation in the Northwestern Federal District of Russia: social media review
... the research utilised data gathered from 2011 to 2022 on the socioeconomic performance and municipal heads of 1,083 settlements and 199 districts. Significant factors influencing municipalities’ presence on social media were determined using binary logistic regression, with two clustering results compared to identify the underperforming municipalities. It was concluded that population size, municipal revenues and expenditures, fiscal capacity and average salary are directly proportional to municipal social ...
Using Python Libraries for Analysis of the Customer Churn Rate of a Bank
... Kaggle: Your Machine Learning and Data Science Community. URL:
https://www.kaggle.com/barelydedicated/bank-customer-
churn-modeling (дата обращения: 23.11.2019).
Belova E. E., Tolstel’ O. V.
bank customers, data analysis, forecasting, logistic regression, Guassian naive Bayes, decision trees, KNN, random forest, Python
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