Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
First off, thank you for the excellent documentation on this project. It's been very helpful. I was studying the Logistic Regression section, specifically the part ...
The goal of this task is to build a binary classification model using Logistic Regression. The model is trained to predict a binary outcome (e.g., malignant vs benign tumors) using real-world data.
ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
ABSTRACT: Over the past ten years, there has been an increase in cardiovascular disease, one of the most dangerous types of disease. However, cardiovascular detection is a technique that analyzes data ...
1 Department of Mobility and Infrastructure Planning and Management, College of Urban Development and Engineering, Ethiopian Civil Service University, Addis Ababa, Ethiopia 2 Faculty of Civil ...
Abstract: Imbalanced data classification, which is a common and important problem in various fields related to the detection of anomaly, failure, and risk, has been studied intensively. Conventional ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results