Where can I find datasets for machine learning?
Data is ruling the world, and it forms the DNA of all the technologies. Whether it is machine learning, artificial intelligence or any other domain, data plays a key role in it. The success of machine learning depends on the type of data sets that are fed into the algorithm. By using this dataset, machine learning can work seamlessly, allow the machine to draw a conclusion and allows the machine to work accordingly. What is a dataset? It is a collection of data which is arranged in a sequence. The dataset can have data from any series. Some of the examples of data are numerical data, categorical data, oriental data. In real-world, there is so much data that managing and processing it initially can be difficult, and hence you will use data sets to practice machine learning. In this blog, we are going to discuss some of the key datasets that you can use for machine learning.
Popular datasets for machine learning Kaggle dataset- The first in our list is Kaggle. It provides datasets for both the machine learning and data scientists. This is easy to use datasets; the user can download and publish datasets in an easy way. Machine learning engineers can make use of Kaggle datasets for revolving complex data science issues. UCI Machine learning repository- If you are willing to explore the greatest source of machine learning dataset, then this is the one for you. It has a database, data generators and domain theories which are