https://github.com/minhnguyends/ml-advertising_sales_prediction

The model has been created by MinhNguyenDS
https://github.com/minhnguyends/ml-advertising_sales_prediction

Last synced: 7 days ago
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The model has been created by MinhNguyenDS

• Host: GitHub
• URL: https://github.com/minhnguyends/ml-advertising_sales_prediction
• Owner: MinhNguyenDS
• Created: 2021-10-12T19:28:10.000Z (about 3 years ago)
• Default Branch: Master
• Last Pushed: 2022-03-01T13:49:29.000Z (over 2 years ago)
• Last Synced: 2023-07-30T02:33:04.526Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 895 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Code and Resources used

-   Python version: 3.9.7

-   Packages: Pandas, Numpy, Seaborn, Matplotlib, Scikit-Learn

## About Project

Machine Learning Regression model is developed to predict sales based on budgesting spends on various platforms for marketing adn advertising

## Dataset: Advertising Dataset

Dataset URL: https://www.kaggle.com/ashydv/advertising-dataset

**Features:**

-   TV: advertising dollars spent on TV for a single product in a given market (in thousands of dollars).

-   Radio: advertising dollars spent on Radio.

-   Newspaper: advertising dollars spent on Newspaper.

## Problem Statement

Build a model which predicts sales based on the money spent on different platforms for marketing.

## Model Building

1.  Simple Linear Regression

2.  Multiple Linear Regression

3.  Polynomoial Regression