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https://github.com/sarowarahmed/advertising-sales-app

📈 Advertising Sales Predictor: A web app powered by a Machine Learning model, built with Numpy, Pandas, Scikit-learn, and Streamlit, to forecast sales based on TV, Newspaper, and Online Advertising. Deployed on Streamlit Cloud for real-time, easy-to-use predictions.
https://github.com/sarowarahmed/advertising-sales-app

advertising app machine-learning multiple-linear-regression numpy pandas sales scikit-learn streamlit

Last synced: 3 days ago
JSON representation

Host: GitHub
URL: https://github.com/sarowarahmed/advertising-sales-app
Owner: sarowarahmed
Created: 2024-08-19T08:16:32.000Z (3 months ago)
Default Branch: master
Last Pushed: 2024-08-21T17:18:44.000Z (3 months ago)
Last Synced: 2024-09-23T06:03:02.784Z (about 1 month ago)
Topics: advertising, app, machine-learning, multiple-linear-regression, numpy, pandas, sales, scikit-learn, streamlit
Language: Python
Homepage:
Size: 23.4 KB
Stars: 0
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# 🔖 Advertising Sales Predictor

An app powered by a Machine Learning model, to forecast sales based on TV, Newspaper, and Online Advertising')

## Demo App

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://Advertising-Sales-App.streamlit.app/)

## GitHub Codespaces

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/streamlit/app-starter-kit?quickstart=1)

## Section Heading

This is filler text, please replace this with text for this section.

## Further Reading

This is filler text, please replace this with a explanatory text about further relevant resources for this repo
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