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Geeky Gadgets

Create Your First AI Agent Assistant Without Writing a Single Line of Code

Imagine having a personal assistant that never sleeps, learns from every interaction, and can handle tasks with precision, all without you needing to write a single line of code. Sounds futuristic? It ...
Hosted on MSN

Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Hosted on MSN

Sleep Classification with Python – EEG, Sklearn and MNE – Part 1

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
Geeky Gadgets

How to Create an App Without Coding : A Beginner’s Guide (No Code)

Have you ever dreamed of creating your own app but felt held back by the daunting world of coding? What if you could go from idea to a fully functional, feature-rich app in just one day—without ...
moneywise

This woman had countless health insurance claims denied for her caudal regression syndrome — but now there's 1 cheat code to file appeals. Can it work?

Remi Lee was born with “medical stuff.” She has caudal regression syndrome, a condition that affects the development of the lower part of a child’s body. It affects one to two out of every 100,000 ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...
GitHub

Akarshan2006/Classification-with-Logistic-Regression.

Binary Classification and Regression in Machine Learning Overview This project focuses on implementing machine learning models for two key tasks: Binary Classification: Predicting categorical outcomes ...
Scientific Research Publishing

Machine Learning-Based Classification of Coronary Heart Disease: A Comparative Analysis of Logistic Regression, Random Forest, and Support Vector Machine Models ()

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...
IEEE

The Application of Logistic Regression in Frequency Domain Classification Based on Deep Learning

Abstract: The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier ...