Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
Abstract: Iterative learning control (ILC) has demonstrated effectiveness in urban traffic signal control systems. However, conventional ILC methods typically require infinite iterations to achieve ...
🚚 Swiggy Delivery Time Prediction A comprehensive machine learning project to predict food delivery times for a service like Swiggy, considering multiple factors such as restaurant distance, traffic, ...
Welcome back to the Fluctus Channel for details on how the MAFF system changed the fight against massive wildfires in the US but also in other part of the World. Fluctus is a website and YouTube ...
A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
A northern Twin Cities school dress code debate drew large crowds and criticism at a school board meeting on Thursday evening. Forest Lake school leaders are considering repealing the ban on wearing ...
ABSTRACT: This study presents a comparative analysis of machine learning models for threat detection in Internet of Things (IoT) devices using the CICIoT2023 dataset. We evaluate Logistic Regression, ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...
This repository contains example code for the machine learning course by Andrew Ng. The code focuses on implementing and understanding core machine learning concepts using Python 🐍.
The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.