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 machine learning expert 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 used by machine learning to assess and analyze machine learning algorithms. This is popular amongst the students and researchers who are working or staying in the field of machine learning. Even the professors of machine learning can use this is the primary source machine learning dataset.

Some of the popular datasets that you can find here are Iris dataset, poker hand dataset. It also has certain tools like regression, classification and clustering, which makes it easy for machine learning engineers to assess and use the data. 

AWS dataset- the next in our list is the Amazon Web Service which again a great source of the dataset. You can easily download and access this dataset. With the help of AWS, one can build and analyze using the shared data.  It also has a search option which makes it easy for the machine learning experts to search for the desired dataset. 

Google dataset search engine – This one was recently launched in the year 2018. It makes it easy for machine learning experts to access large volumes of data that is available free of cost.

Conclusion– This was the basic information about the various datasets which one can use for machine learning. We would like to mention here that data is the fuel that is going to drive the technologies, hence having an expertise in this domain is going to give you an upper edge. So, if you are willing to make a career in data, then you can opt for data science certification, machine learning certification or data expertise. Global Tech Council provides the best online certification program that is going to help in getting a competitive advance. So, for more information connect with the Global Tech Council today.