Abstract

Recently, there are different public datasets are available for machine learning and data science applications. These datasets are also applied in computer vision, sentiment analysis, clinical data, natural language processing, and others. When anyone shapes the logic of artificial intelligence and data science project, need to write variants of algorithms, and the performance of the model can be evaluated based on the data required for training, and also discuss results of prediction with other methods. Even if anyone is not required to gather particular data collection, the learner can spend more amount of time searching for a better dataset that is required for the implementation of the live project. There are a wide variety of datasets on different categories available in the public domain. The learner must search for the right dataset by spending time. This article is targeted at helping the learners to search for the best available recent datasets in the public domains for artificial intelligence, machine learning, and data science projects.

Keywords:Machine learning; Data science; Datasets; Recommendation; Ratings; Artificial intelligence