Quick and easy way to create your own ML model based on regressions
Performs the task to predict a dependent variable value (y) based on a given independent variable (x).
K-nearest neighbors (KNN)
Assumes the similarity between the new case/data and available cases and puts the new case into the category that is most similar to the available categories.
This service allows you to quickly and easy work with following such of tasks:
Identifies k number of centroids, and then allocates every data point to the nearest cluster, while keeping the centroids as small as possible.
You can easily compare two or more data series for similarity.
Our solution is absolutely free for everyone. You don't need to spend money to apply ML in your project.
You will not need to wait for a long time to get the result.
Minimum ML knowledge required
Even novice developers can use our API in their projects.
Tested with independent Network Vulnerability Scan by
(OpenVAS + Website Vulnerability Scan)
Try EasyML 0.1