In this project, we aim to get acquainted with machine learning methods through the Sickit-Learn library. This project is defined in four phases. In phase zero, we review and analyze the data. In the first phase, we will get familiar with preprocessing methods, then we will extract features from the text columns. In the second phase, we use the famous Sickit-Learn library models to predict labels and optimize these models. Finally, in the third phase, we use Ensemble Learning methods and compare the results of these types of models with the results of the previous phase.