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 ...

In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest ...

As the clouds clear on computational crystal structure prediction, is the technique ready to empower mainstream materials research? James Mitchell Crow reports Importance and challenges: CSP is ...

Machine learning, particularly Natural Language Processing (NLP), is transforming the way we build software. Whether you're improving search experiences with embedding models for semantic matching, ...

Abstract: Given the infection's wide growth, one of the biggest challenges on the planet right now is identifying Corona Virus Disease 2019 (COVID-19). Recent findings show that, with over 225M ...

Abstract: Many of the existing machine learning models for health care analysis are concentrating on one disease per analysis. Like one analysis if for diabetes analysis, one for cancer analysis, one ...

Excessive levels of organic matter in water threaten ecological safety and endanger human health. As the water resource environment is deteriorating, accurate and rapid determination of water quality ...