Abstract: High-dimensional data regression presents significant challenges due to factors such as strong nonlinearity among features, an excessive number of intermediate variables, and rule explosion, ...

Abstract: When analyzing heterogeneous data comprising numerical and categorical attributes, it is common to treat the different data types separately or transform the categorical attributes to ...

A comprehensive machine learning project for automated sentiment analysis and topic modeling of Amazon product reviews. This project combines Natural Language Processing (NLP) techniques with multiple ...

Pierre-Henry Soria — An Extremely Passionate Data Scientist who loves automating content creation efficiently with meaningful data! Also a true roquefort 🧀, ristretto ☕️, and dark chocolate lover! 😋 ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...