In this chapter, we discussed various methods of performing classification, regression, and forecasting using the neural network model. Be it supervised or unsupervised data mining problems, neural-network-based implementations are popular not only among users but also among business stakeholders. We discussed which model to use where and the data requirement for each of the models. In this chapter, we specifically highlighted the importance of a powerful technique with better accuracy always for classification- and regression-based scenarios.