saboye / predicting-sales-performance Goto Github PK

View Code? Open in Web Editor NEW

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.

Jupyter Notebook 100.00%

predicting-sales-performance's Introduction

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
Github: @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

Recommend Projects

saboye / predicting-sales-performance Goto Github PK