Pizza for pythons: Florida restaurant owner gives away free pies in exchange for dead snakes

Florida pizzeria owner Dustin Crum is offering python hunters free pies in exchange for dead snakes. Snakes on a plain? A ...
Design News

How to Build an Arduino-Based Solar Power Prediction System Using Python & Machine Learning, Part 2

In this tutorial, we’ll build on the foundation laid in the “Arduino-Based Solar Power System Using Python & Machine Learning, Part 1” project by exploring how to intelligently select and use machine ...
Frontiers

Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis

The “gut–skin axis” has been proposed to play an important role in the development and symptoms of atopic dermatitis. Therefore, we have constructed an interpretable machine learning framework to ...
IEEE

Multiple Disease Prediction Using Machine Learning Algorithm

Abstract: Using machine learning techniques like Logistic Regression, The Support Vector Machine i.e. (SVM) classifiers, The Random Forest classifiers i.e. (RFC), The Decision Tree classifiers i.e.
GitHub

Using LDA, SVM, and Decision Trees to deal with MNIST data set

This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...
Frontiers

Machine learning approaches to identify Parkinson's disease using voice signal features

Parkinson's Disease (PD) is the second most common age-related neurological disorder that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its symptoms are quite ...
IEEE

Social Media News Classification Using Machine Learning Algorithms

Abstract: Every day, a great amount of data is generated online in the age of technology. However, an unprecedented amount of material is being disseminated online, most of it false news. Fake news is ...
GitHub

High accuracy captcha solver for SJTU Jaccount login page using SVM and ResNet.

This work includes two high performance recognizers. The SVM based recognizer has an accuracy of 90%. It first applies projection-based algorithm to the input image, then use a pre-trained SVM model ...