https://github.com/saboye/predicting-sales-performance
project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.
https://github.com/saboye/predicting-sales-performance
f-statistics linear-regression p-values python r-square r-squared
Last synced: about 1 month ago
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project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.
- Host: GitHub
- URL: https://github.com/saboye/predicting-sales-performance
- Owner: saboye
- Created: 2020-10-28T17:56:46.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2022-12-21T11:09:42.000Z (over 3 years ago)
- Last Synced: 2025-06-17T21:43:26.015Z (12 months ago)
- Topics: f-statistics, linear-regression, p-values, python, r-square, r-squared
- Language: Jupyter Notebook
- Homepage:
- Size: 501 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# predicting sales performance
### Overview
A project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budgetA project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget
### Data sets
### Approch
Make a statical analysis and Building a statistical model.
### EDA
The sale distribution is somewhat in a normal distribution.
As the sale of Smartphone increase the expenditure of the Youtube Ads also increase.
### Correlation matrix
### Model
#### Goodness of Fit
#### Test Data
#### Author
👤 **SABOYE**
* Twitter: [@saboye1](https://twitter.com/saboye1 )
* Github: [@saboye](https://github.com/saboye)
#### 🤝 Contributing
Contributions, issues and feature requests are welcome!
Feel free to check [issues page](https://github.com/saboye/predicting-sales-performance/issues).
#### Show your support
Give a ⭐️ if this project helped you!
#### 📝 License
Copyright © 2021 [saboye](https://github.com/saboye).
This project is [MIT](https://github.com/saboye/predicting-sales-performance/blob/master/LICENSE) licensed.
***