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Sales Forecast App using Anguar and Flask

Sales-Forecast-Prediction-using-Angular-and-Flask Sales forecasting app using Angular, Flask, and a RandomForestRegressor ML model. Upload sales data, set parameters, and visualize forecasts on a responsive dashboard. API handles requests for training and prediction. Optimized with hyperparameter tuning for best performance.
Updated 10 months ago

Sales Forecast App Using Angular And Flask

This project was generated with Angular CLI version 15.1.4.

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The application will automatically reload if you change any of the source files.

Code scaffolding

Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.

Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory.

Running unit tests

Run ng test to execute the unit tests via Karma.

Running end-to-end tests

Run ng e2e to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI Overview and Command Reference page.