Predicting the market value of football players in 2024 using linear regression and neural networks
-
Updated
Nov 27, 2024 - Jupyter Notebook
Predicting the market value of football players in 2024 using linear regression and neural networks
A project finished 04-02-2026 as part of the TripleTen Data Science program using real-world data and mimicking real-world project requirements. Task was to train a machine learning model for use on the Rusty Bargain app to estimate a car's market value on demand. Lowest RMSE was 1710.25, and that model delivered predictions in 207 milliseconds.
Data visualization of Fortune SEA 2024
Complete end to end machine learning project from data scraping to deployment.
Add a description, image, and links to the market-value-prediction topic page so that developers can more easily learn about it.
To associate your repository with the market-value-prediction topic, visit your repo's landing page and select "manage topics."