Development of a Web App for Auto and Semiauto Machine Learning implementation

Web application development where analytical tools are available to create analytical forecasting models including the steps: a) data entry in a database, b) pre-processing of data b) selection of algorithm (s) based on the type of forecast (eg Supervised or Unsupervised Learning, Classification or Regression Problem c) Model Training and Evaluation and d) Prediction / Results Visualization

Technical prerequisites

  • Python

Author: Emmanouil Alexakis