In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...

Abstract: This paper consists of an in-depth analysis of two popular supervised learning techniques: Support Vector Machine (SVM) classifier and Logistic Regression. This work aims to demonstrate the ...

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...

Abstract: The primary objective of this study is to investigate the efficacy of Support Vector Machine (SVM) regression method to enhance the accuracy of Low Earth Orbit (LEO) space debris orbit ...

In an era when change is the only constant, society is not merely evolving; it finds itself in a state of crisis. The concept of societal regression, introduced by psychiatrist Murray Bowen, offers a ...

Season of the Wish, has arrived in Destiny 2 and it does not disappoint with its wave of new loot to chase. Scatter Signal is a stand out weapon this season and this god roll will be a top pull. This ...

Age regression is an unconscious return to an earlier stage of behavioral, emotional, or social development. It can be a sign of distress, trauma, or a mental health condition. Temporary age ...