Open source (on GitHub)
Minimizing churn of customers of a popular fintech app.
Detecting fraud on online customer transactions using state of the art algorithm - LightGBM.
Trying to beat the Chicago city in predicting which restaurants are currently
at risk of breaking the rules (compliance / food safety).
A machine learning project for 6nomads (a multi-class clasification problem).
Example of context-aware recommender model for the CarMusic dataset using different techniques, including AutoML,
deep learning and collaborative filtering.
News portal user interactions by Globo.com.
Identifying columnar cactus on aerial images (deep-learning project).
Identifying possibly ill patients basing on data from sensors.
Regression models for prices of real estate in the USA.
Regression models for predicting number of views of YouTube videos.
Sample analysis of NEI public data about air contamination in USA.