North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
GitHub

This dataset includes audio samples from multiple music genres with genre labels. Perfect for music information retrieval, genre classification, audio feature extraction, and ...

music-classification/ ├── data/ │ ├── audio/ │ │ ├── classical/ │ │ ├── jazz/ │ │ ├── rock/ │ │ ├── pop ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Scientific Research Publishing

Cao, G. G., Li, M. X., Chen, Y. et al. (2021). Improved Support Vector Machine Classification Method and Its Application in Primary Liver Cancer Screening. Journal of Applied ...

ABSTRACT: From the perspective of student consumption behavior, a data-driven framework for screening student loan eligibility was developed using K-means clustering analysis and decision tree models.
Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

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!
GitHub

svm-model

An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...
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 ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Frontiers

Advanced ECG feature extraction and SVM classification for predicting defibrillation success in OHCA

Out-of-hospital cardiac arrest (OHCA) represents a critical challenge for emergency medical services, with the necessity for rapid and accurate prediction of defibrillation outcomes to enhance patient ...