Elaboration of Machine Learning and Deep Learning projects with structured and unstructured data types, where the stages of the process are launched: Definition of a problem of interest. Exploratory data analysis. Data pre-processing. Variable engineering. Modeling. Hyperparameter tuning. Model evaluation. Model prediction. Model deployment.