How To Implement ML Models With Small Datasets

Machine learning is now being implemented in several different applications today. People these days are figuring out how they can use the power of machine learning in their domain. But they often come across the problem of lack of data. The data is not sufficient to build a predictive model over it. Also, when we build predictive models over this amount of data, often the model is overfitted and does not perform well.