This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional ...

This project builds a supervised machine learning model trained on historical weather data to predict whether it will rain the next day. It includes a Flask web application with an interactive ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

As a data analyst, your success hinges on your ability to understand and work effectively with data. While data comes in many forms, there are three core types of data that you will encounter most ...

The growth of the electric vehicle industry has heightened the need for accurate assessment of lithium-ion battery degradation, particularly considering its intricate and nonlinear characteristics.

Synthetic data generation is being increasingly used as a privacy preserving approach for sharing health data. In addition to protecting privacy, it is important to ensure that generated data has high ...

Several prognosis prediction models have been developed for breast cancer (BC) patients with curative surgery, but there is still an unmet need to precisely determine BC prognosis for individual BC ...

Seasonal influenza epidemics cause serious public health problems in China. Search queries-based surveillance was recently proposed to complement traditional monitoring approaches of influenza ...