ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists

ASCENDS is a toolkit that is developed to assist scientists or any persons who want to use their data for machine learning. There exist many tools available for data scientists, but most of them require programming skills or overly complex for users who have little coding experiences. This software provides a set of simple but powerful tools for non-data scientists to be able to intuitively perform various advanced data analysis and machine learning techniques with simple interfaces (a command-line interface and a web-based GUI). The current version (0.4.1) of ASCENDS mainly focuses on two different machine learning tasks - classification and regression (value prediction).

ASCENDS principles

• Supporting various classification/regression techniques (Linear regression, logistic regression, random forest, support vector machine, neural network, ...)
• Supporting Feature selection based on various criteria
• Provides automatic hyperparameter tuning
• No programming skills required, but ASCENDS library can be used in your code if needed
• Using standard CSV (comma separated values) format data set
• Built on top of open source projects (keras, tensorflow, scikit-learn, etc.)