EasyML 0.2
Quick and easy way to create your own ML model based on regressions
Linear regression
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:
K-means clustering
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.
Series comparison
Our advantages
  • Absolutely free
    Our solution is absolutely free for everyone. You don't need to spend money to apply ML in your project.
  • High speed
    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.
  • Secure API
    Tested with independent Network Vulnerability Scan by Pentest-tools.com (OpenVAS + Website Vulnerability Scan)
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