In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...

With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...

Abstract: Air pollution is a major scenario in the urban areas. The need of analyzing air quality is becoming an important requirement over past years. Atmosphere contains various levels of pollutants ...

Fab operations have wrestled with big data management issues for decades. Standards help, but only if sufficient attention to detail is taken during collection. Semiconductor wafer manufacturing ...

A company’s content lies largely in “unstructured data”—those emails, contracts, forms, Sharepoint files, recordings of meetings and so forth created via work processes. That proprietary content makes ...

This project was developed alongside the Google Advanced Data Analytics course and focuses on practical implementation of linear regression. Leveraging the dataset and methodologies introduced in the ...

Balancing water quality standards while facilitating economic growth with uncertain factors in a complex system is challenging for policy makers. This case study analyses the fictional town of Fortuna ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data has grades. Much like olive oil, flour, gasoline, beef ...