Data is the key to build a Data Science project. It is a no brainer, but the problem is where to find those loads of sources where the information is genuine, and the supply is endless? That is what exactly we will discuss in this article. The Data Sources are often called Datasets, which, in simple terms, are the sources where you will get an infinite supply of data for your project.
Now, please note that there are hundreds and thousands of Datasets available, both free and paid services. However, we consider those that have a clean UI where you can search for data quickly and are accurate enough in most cases. Another aspect that we have prioritized while making this list is that the share information is well versed and explained adequately.
Also Read: A Beginner’s Guide to Data Science and its Application
Best Data Sources for Building Data Science Models
In this modern world Data is the king. Here are 7 Best Data Sources for Building Data Science Models. So, let us discuss all this list of websites which are among the best to build your Data Science Models:
1. FiveThirtyEight
FiveThirtyEight is one of the best news feeds globally, which primarily focuses on sports news and world politics. They are a cluster of elite journalists who write sweeping articles that you can rely upon while making your venture.
Some of the unique datasets that you can take reference are Airline Safety, US Weather History, and of course, Study Drugs. The site offers information on which are exclusive, and their coverage on the news are mostly very fast.
2. BuzzFeed
BuzzFeed has evolved into a tier-one data source company from scratch. It is a multi-genre news feed covering gossip and entertainment, TV & Movies, shopping, politics, and other lifestyle news.
You can rely on BuzzFeed as they offer correct info most of the time. The UI is easy to operate; so, you can find what you are looking for with ease here. Federal Surveillance Planes, Zika Virus, and Firearm background checks are some top-shelf datasets that BuzzFeed provides.
3. NASA
If you are looking to create a Data Science project that requires extra-terrestrial information, NASA is where you should look for. As we know, it is a US-Government funded operation, all the info you get will be accurate as they practically spend all their time researching out of space.
One can argue, but it still is one of the best sources to get data on earth science and life on space.
4. Amazon Web Services
Amazon is among the top five tech companies in the world. So, their datasets should have to be one of the bests in the world. You can get them in EC2 and EMR; both are Amazon powered by Amazon.
They allow you to download the datasets directly to your computer so that you can use them in your personal projects. Some popular datasets are Lists of n-grams from Google Books, Common Crawl Corpus, and the famous Landsat images.
5. Google Public Datasets
Google is a company that doesn’t require any introduction today. So, we will automatically consider its dataset service – Google Public Datasets. For many years now, Google has its cloud hosting service called Google Cloud Platform. BigQuery is an exclusive tool in that service by which you can dive into massive data sets.
However, the service is not entirely free, as you will get 1TB of queries without paying. Some famous datasets that Google Public Data sets offer are USA Names, GitHub Activity, and Historical Weather.
6. Wikipedia
Wikipedia is one of the most popular encyclopedia sites in the world right now. It has been a general trend to follow the Wiki source whenever we need any particular subject details.
As it has answers to most internet queries, we have put it on this list. It offers detailed info on various topics worldwide, and the best part is its clean and simple UI.
That allows you to search for data on almost every topic in the world. Its images and contents are itself the datasets that you can use in any project.
7. UCI Machine Learning Repository
UCI Machine Learning Repository is not as popular as Wikipedia, but it is handy if you are into machine learning. Many consider this one of the oldest in the business as you can get detailed info on most ML topics.
Email spam, Wine classification, and Solar flares are some of its popular datasets that you can use. Its UI is clean and ready-to-use, and the fact that you can download them in your system makes it a must-have for any data science expert.
Conclusion
To conclude, we have mentioned these data sources so that you can find unlimited data while wrapping up a Data Science Models. That said, there are tons of sources. Some of the honorable mentions are Quandl, Kaggle, data.world, Data.gov, The World Bank, and many more. You will also use these to get what you want.
