GR-298 Soccer players' prices predictions in the transfer market
Description
The soccer player transfer market has expanded tremendously in the last few decades. It is estimated that European teams have spent 4.4 billion dollars in the summer 2022 transfer window. Teams from all over the world became in need to find a reliable method to help them sign the players they want without overpaying for the player or making an insufficient offer. Many Machine learning techniques can be implemented to help teams figure out what is the most appropriate offer they need to make for the players they wish to sign. In this project, we will utilize some Machine Learning techniques such as multiple linear regression and deep neural networks to find out the best possible model for assigning transfer prices to soccer players.
GR-298 Soccer players' prices predictions in the transfer market
The soccer player transfer market has expanded tremendously in the last few decades. It is estimated that European teams have spent 4.4 billion dollars in the summer 2022 transfer window. Teams from all over the world became in need to find a reliable method to help them sign the players they want without overpaying for the player or making an insufficient offer. Many Machine learning techniques can be implemented to help teams figure out what is the most appropriate offer they need to make for the players they wish to sign. In this project, we will utilize some Machine Learning techniques such as multiple linear regression and deep neural networks to find out the best possible model for assigning transfer prices to soccer players.