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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.

saboye/predicting-sales-performance

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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.

sales

sales

As the sale of Smartphone increase the expenditure of the Youtube Ads also increase.

sales

salessales

Correlation matrix

sales

Model

sales

Goodness of Fit

sales

Test Data

sales

Author

👤 SABOYE

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

Show your support

Give a ⭐️ if this project helped you!

📝 License

Copyright © 2021 saboye.
This project is MIT licensed.


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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.

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