The machine learning community can access public research datasets as tf.data.Datasets and as NumPy arrays.
Last year in February, the TensorFlow’s team introduced TensorFlow Datasets. Machine learning community can access public research datasets as tf.data.Datasets and as NumPy arrays. TFDS does all the tedious work of fetching the source data and preparing it into a common format on disk. It uses the tf.data API to build high-performance input pipelines, which are TensorFlow 2.0-ready and can be used with tf.keras models.
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Some Interesting Datasets to Upscale You Skills and Portfolio. This one is great for Exploratory Data Analysis, Statistical Analysis & Modeling, and, Data Visualization practice.
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Need a data set to practice with? Data Science Dojo has created an archive of 32 data sets for you to use to practice and improve your skills as a data scientist.