The invention relates to the technical field of machine learning, and especially relate to a method and a system for integrated machine learning convenient for data analysis personnel to use. The method comprises the following steps: (1) data exploring; (2) data cleaning; (3) feature extraction; (4) feature selection; (5) sampling; (6) model training; (7) model optimization; (8) model combination;(9) model interpretability; (10) nature language processing. The system comprises a data processing module, a feature processing module, a model processing module, and a nature language processing module. The method and the system provide a unified algorithm modeling process for machine learning engineers, students, teachers, and machine learning fans, so that the machine learning engineers, students, teachers, and machine learning fans complete a modeling process by 20% efforts, and concentrate 80% efforts on understanding of business and model application, to deeply understand business andpreferably realize requirements of business personnel on models.