https://github.com/esha-sm/forecastx

This is an interactive web application for forecasting sales data using the ARIMA model. Users can upload their own CSV files or use a default dataset to generate forecasts and visualizations.
https://github.com/esha-sm/forecastx

arima-model flask-api jupyter-notebook matplotlib pandas plotly python scikit-learn seaborn

Last synced: 3 days ago
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This is an interactive web application for forecasting sales data using the ARIMA model. Users can upload their own CSV files or use a default dataset to generate forecasts and visualizations.

• Host: GitHub
• URL: https://github.com/esha-sm/forecastx
• Owner: esha-sm
• Created: 2025-01-03T06:41:26.000Z (21 days ago)
• Default Branch: main
• Last Pushed: 2025-01-13T02:58:19.000Z (11 days ago)
• Last Synced: 2025-01-21T02:12:55.559Z (3 days ago)
• Topics: arima-model, flask-api, jupyter-notebook, matplotlib, pandas, plotly, python, scikit-learn, seaborn
• Language: Jupyter Notebook
• Homepage: https://forecastx.streamlit.app/
• Size: 70.3 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## ForecastX

This is an interactive web application for forecasting sales data using the ARIMA model. Users can upload their own CSV files or use a default dataset to generate forecasts and visualizations.

## Features

- **Data Loading and Processing**: Read CSV files, handle missing data, and convert date columns.

- **Data Visualization**: Create interactive plots using Plotly (line charts, box plots, bar charts) and Seaborn.

- **Time Series Forecasting**: Implement ARIMA models for forecasting sales data.

- **Error Handling**: Robust error handling for data loading, processing, and visualization.

- **User Interaction**: Streamlit widgets for file upload, number input, and buttons.

## How to Use

1. Clone the repository:

   ```sh

   git clone 

   cd forecastx