Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
IEEE

Secure kNN for Distributed Cloud Environment Using Fully Homomorphic Encryption

Abstract: Privacy-preserving k-nearest neighbor (PPkNN) classification for multiple clouds enables categorizing queried data into a class in keeping with data privacy ...
Frontiers

MRI machine learning model predicts nerve root sedimentation in lumbar stenosis: a prospective study

Objectives: To analyze MRI characteristics of the nerve root sedimentation sign (SedSign) in lumbar spinal canal stenosis (LSS) and to establish a risk model predicting its occurrence. Methods: A ...
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

Exploring machine learning classification for community based health insurance enrollment in Ethiopia

Background: Community-based health insurance (CBHI) is a vital tool for achieving universal health coverage (UHC), a key global health priority outlined in the sustainable development goals (SDGs).
Scientific Research Publishing

Congedo, L. (2021) Semi-Automatic Classification Plugin: A Python Tool for the Download and Processing of Remote Sensing Images in QGIS. Journal of Open Source Software, 6 ...

ABSTRACT: The rapid evolution of land use patterns in Lusaka presents significant challenges for sustainable urban development and resource management. This study employs a time-series analysis of ...