Application of advanced cloud data analytics in an e-commerce company's environment

This thesis deals with the application of advanced cloud data analytics in the environment of a company operating in the e-commerce sector. The main objective of the thesis is to develop and apply a machine learning model, with the help of which the client will be able to classify which web navigation categories products fall into based on given criteria. In the introduction of the thesis, the business assignment of the project is specified along with its primary benefits for the companies involved. In the first part, the author discusses the e-commerce environment and data’s importance in this highly competitive and dynamic industry. Various sources and types of data are described, along with the possibilities of obtaining them, laying the foundations for a comprehensive understanding of the context of the thesis. The author then presents suitably selected datasets and their columns, which are then processed and transformed to meet the requirements for their use in a machine-learning task. Considerable emphasis is placed on feature engineering in the search for satisfactory data processing for the selected models, where several techniques are tried. After the data preparation phase, the selected machine learning models are presented and implemented to identify the best-performing combination based on specific classification metrics. The thesis output is deploying the most suitable solution on the AWS cloud platform.