1. Describe the major distinction between regression and classification problems under Supervised machine learning. 2. Explain what overfitting is and how it affects a machine learning model.  3. When using big data, a number of prior tasks such as data preparation and wrangling as well as exploration are required to improve the ML model building and training. Outline the 3 tasks of ML model training when using Big data projects.

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System Model Approaches

The systems model approach is a process-oriented representation that emphasizes the impact or flow of information between modules. The multidisciplinary study of the use of models to design and create systems in business and IT development is known as systems model approach. It models how processes interact and what these processes do, but it does not go into detail about how these processes are implemented. Functional decomposition may be utilized to enhance the models employed in this technique, and they can be coupled to requirements models for additional system partitioning.