Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
-
Updated
Sep 28, 2024 - Python
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Deep learning for time-varying multi-entity datasets
A novel Inductive Logic Programming(ILP) system based on Meta Inverse Entailment in Python.
An R Shiny Application that let's users get inference from the data by the auto-generated visualizations and control, train and evaluate different ML models on the selected data.
Automated Data Scientist: An intelligent, adaptive data analysis tool that leverages AI-driven automation to dynamically plan, execute, and refine data science workflows. Automatically handles data preparation, analysis planning, code generation, and result interpretation using advanced language models.
Add a description, image, and links to the automated-data-science topic page so that developers can more easily learn about it.
To associate your repository with the automated-data-science topic, visit your repo's landing page and select "manage topics."