Hidden Gems
Hidden Gems is a web application designed to help users analyze and forecast data relationships by using AutoML and dynamic class generation to permit arbitrary data input. It provides a user-friendly interface for uploading data, selecting columns, analyzing the data, and forecasting future values.
- Clone the repository to your local machine.
git clone https://github.com/dmsweetser/HiddenGems.git
cd HiddenGems-
Open the project in your preferred development environment.
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Run the application and navigate to the welcome page.
The application workflow is divided into several steps:
- Upload Data
- Users can upload data either from a local file or from an online source. The application supports CSV/TSV files and online spreadsheets.
- Pick Columns
- Select the columns you want to analyze from the uploaded data.
- Analysis
- The application will analyze the selected columns, and users can view the result, including significant words and relationships.
- Forecasting
- In this step, users can forecast future values based on the analyzed data.
This project is licensed under the MIT License. The application is capable of operating in demo and licensed mode, but the license manager has been mocked for the purposes of distributing the application.