Several machine learning algorithms are applied here (algorithms of artificial neural networks, k-nearest neighbors, decision tree) along with characteristics of datasets measured by meta-features. In ...

Abstract: This paper proposes a collaborative filtering algorithm based on user characteristics. The algorithm is mainly aimed at the problems of data sparsity and cold start in traditional ...

This repository houses code and instructions for analyzing an online retail dataset. Using Python libraries like pandas and seaborn, it explores data characteristics, visualizes trends, and mines ...

In this project, we analyze a dataset of mall customers to understand their characteristics, preferences, and behaviors. By applying data analysis techniques and clustering algorithms, we aim to ...

Analytical Chemistry researchers at the University of Amsterdam’s Van ‘t Hoff Institute for Molecular Sciences (HIMS) have developed a novel ...

A number of public opinion figures and data including public and private things were given to the Ada algorithm. Based on these data, the Ada algorithm issued 400,000 simulations per day on "how ...