DataFawn enables a fully visualized machine learning process with three layers of automation:
- Intelligent Preprocessing: Automatic detection of data types, handling of missing values, standardization/normalization
- Characterization Engineering Automation: automatically generate derived features based on data types, such as time series decomposition, text vectorization, etc.
- AutoML engine: Automatically test multiple algorithm combinations, optimize hyperparameters, and select the best model
Users only need to complete three simple steps:
- Upload structured CSV data files
- Selection of target variables (predictors)
- Click on the Training button
The platform displays the training progress in real time and provides a complete evaluation report containing metrics such as accuracy and confusion matrix upon completion.
This answer comes from the articleDataFawn: A Data Analytics Platform for Building Machine Learning Models Without Writing CodeThe
May not be reproduced without permission:AI productivity tools " How does DataFawn enable code-free machine learning model training?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil