Determining the Industry 4.0 levels of some countries by machine learning clustering algorithms

With Industry 4.0, supported by artificial intelligence technology, countries aim to increase production power by increasing productivity in the industrial field, speeding up work flow processes and reducing costs. Although the innovations that come with Industry 4.0 and artificial intelligence are considered as developments, they stand out with applications that affect human life in all areas. For this reason, in this study, by explaining Industry 4.0 and artificial intelligence components, the Python programming language and Machine Learning method were used with the data consisting of 54 countries and 22 variables in the areas where the effects of Industry 4.0 can be seen, and the necessary data cleaning process was carried out from the collected data. In addition, "the hierarchical clustering method" and "the K-Mean clustering method", which are among the 54 country clustering methods,. Clusters obtained by both hierarchical and K-means clustering methods were compared with each other. Country-based variable rates were evaluated. Keyword; Industry 4.0, Artificial Intelligence, Python, Hierarchical Clustering, KMeans Clustering