Techtonique dot net, the Machine Learning web API, is back online (but more like a passion project for now)

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[This article was first published on T. Moudiki's Webpage - R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.https://www.techtonique.net contains tools for Exploratory Data Analysis (EDA), editors for R and Python code, tools for data visualization, no-code web interfaces for various data science tasks, a language-agnostic API for machine learning tasks (classification, regression, survival analysis, reserving, forecasting etc.).I recently noticed a spike in sign-ups (not sure how they noticed it was up again, without official announcement…), and I thought it was a good opportunity to share that techtonique.net is back. More like a passion project, or part of a portfolio (for now). The API is available and evolving. You can use it for free (with rate limiting), but please note that it is slightly slower than it used to be (indeed, I used to have Azure Credits thanks to Microsoft for Startups => a faster server). It still serves the responses, in a reasonable time though, and I will try to optimize it as much as possible.It is worth mentioning that I removed the stochastic simulation API for now, as it required (more technical) to run R in Python, through a Docker container.Here are some examples of how to use the API for machine learning tasks in R and Python (there are also no-code interfaces for these tasks in the website, and the API is language-agnostic, so you can use it with any programming language that can make HTTP requests):The starting point is to signup/login (if you’re facing issues, contact support@techtonique.net) and get a token from: https://www.techtonique.net/token. Then, you can use the token in API requests for machine learning tasks. Each response is a prediction, as envisaged by the chosen model, and based on the input data.1 – R example:#!/usr/bin/env Rscript# Install httr if needed: install.packages("httr")# All you need is a token from www.techtonique.net/token, then run the scriptlibrary(httr)BASE_URL