Meherzi Zied

This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.

Using machine learning algorithms, this project aims to predict student performance in standardized tests based on demographic and academic data.

No description.