Creating a model for recognizing pneumonia from X-ray images

Analysis of the found dataset, creation of CNN solution architecture, testing and validation of the obtained model.

A service for preventing user outflow from a web resource using RL methods.

Analysis of the available data log, its processing, analysis of literature on the topic and methods used in business, creation of a model for recommending actions aimed at preventing user churn, creation of a service based on django for interaction with the created model.

Recommender system

Full project development, starting with analysis of available data, selection of architecture/models/metrics, implementation of the selected architecture, selection of hyperparameters, testing, optimization, implementation of the final solution in the form of py-scripts and a docker image.