GARBAA33

Data preprocessing in Machine Learning is a crucial step that helps enhance the quality of data to promote the extraction of meaningful insights from the data. Data preprocessing in Machine Learning refers to the technique of preparing (cleaning and organizing) the raw data to make it suitable for a building and training Machine Learning models. This problem present a unbalanced dataset which is manifested in the status column to predict, so we use techniques to solve this problem . Use variant of machine learning classification models and select the best.