NITK uses machine learning to predict landslides in Western Ghats

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
GitHub

knn-python

This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: ...
Visual Studio Magazine

Weighted k-NN Classification Using C#

A good way to see where this article is headed is to take a look at the screenshot of a demo program in Figure 1. The demo sets up 30 data items. Each has a data ID (from 0 to 29), annual income ...
IEEE

i-HOPE: Detection And Prediction System For Polycystic Ovary Syndrome (PCOS) Using Machine Learning Techniques

Abstract: The present world women population is widely affected by preterm abortions, infertility, anovulation etc. It is observed that polycystic ovary syndrome (PCOS), a condition seen among the ...
Analytics India Magazine

A Complete Guide For Beginning With K-Nearest Neighbours Algorithm In Python

With lots of Machine Learning algorithms out there it is often hard and confusing as to which to choose for our model especially for those who are just preparing for a big dive into data science. And ...
Scientific Research Publishing

A KNN Undersampling Approach for Data Balancing ()

In supervised learning, the imbalanced number of instances among the classes in a dataset can make the algorithms to classify one instance from the minority class as one from the majority class. With ...