This project is a Jupyter notebook of ML prediction for data analyst based on american dataset.

To execute the following code, You need to install python. The code was write in 3.7 and supposed to work on >= 3.11 but never tested. You can execute this on your own computer by creating a kernel with python or use Collab

This documents contain the experimental dataset from Kaggle that we use for this project.

This folder contain the visualization of our dataset (charts, graphs, ...)

This folder contain our Models.

note: If you keep the models pickle files, The code will detect it and skip the training to save time so if you want to see the training or modify something, be sure to delete this models.