KNN Implementation in Java
-
Updated
Feb 6, 2018 - Java
KNN Implementation in Java
Problems Identification: This project involves the implementation of efficient and effective KNN classifiers on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
Stock market analsis with python tools
Scripts for machine learning algorithms in MATLAB/Octave and python
1-hour ML introduction for colleagues at TrueBlue. KNN and fashion-mnist will be ran by every participant on their laptop, then overview of the dog project and finally an explanation of kernel and how they extract information from images
Add a description, image, and links to the knn-algorithm-proof topic page so that developers can more easily learn about it.
To associate your repository with the knn-algorithm-proof topic, visit your repo's landing page and select "manage topics."