This article was published as a part of the Data Science Blogathon.
Are you a Data Science enthusiast or already a Data Scientist who is trying to make his or her portfolio strong by adding a good amount of hands-on projects to your resume? But have no clue where to get the datasets from so that you can develop the Machine Learning models or If you are a student or a beginner who has not tried his or her hands on the data science projects yet or If you are someone who wants to take his or her skills at the next level by developing Machine Learning models on various complex data?
Well, This is the article for you!
In this article, I am going to tell you about 10+ repositories or websites from where you can get the various Machine Learning or Deep Learning related datasets that is you cannot only get the structured data but also unstructured data like images, videos, etc. from these repositories or websites.
They offer data free of cost in most instances. I will also provide the links to these websites in this article. So, stay tuned with us and read the whole article to brush up on your skills on the datasets available on the platforms so that you can get yourself job-ready.
The main thing which you should know while Learning Data Science is:
If you want to excel in the field of data science, then always have to remember that the best way to learn data science is to apply data science.
So, Let‘s Get Started,
Image Source: FiveThirtyEight
Some important things you should know about this website:
– FiveThirtyEight is a news and sports interactive site with some amazing data visualizations.
– They make a lot of their data available to the public, which means you can download it and play with it yourself!
– FiveThirtyEight includes generic polling data as well as data for more specific queries such as “How Popular Is Donald Trump?”, etc.
– They make data available as CSV files on their data portal and on GitHub, making it simple to access polling and narrative data.
Image Source: The World Bank
Some important things you should know about this website:
– The World Bank funds initiatives in underdeveloped nations on a regular basis, then collects statistics to track their success.
– Without registering, you can view World Bank data sets directly.
– There are many missing numbers in the data sets, and getting to the data can take many clicks.
– The Development Data Group of the World Bank manages statistical and data activities as well as maintaining a number of macro, financial, and sector databases.
Image Source: Academic Torrents
Some important things you should know about this website:
– Academic Torrents is a website dedicated to the distribution of data sets from scholarly studies. It contains a plethora of intriguing data sets.
– You can browse the data sets on the site and download them if they are of interest to you!
– They’ve created a distributed system for exchanging massive datasets, intended by researchers for researchers.
– The end result is a data repository that is scalable, secure, and fault-tolerant, with lightning-fast download speeds.
Image Source: AmazonDatasets
Some important things you should know about this website:
– All the datasets in Amazon datasets are stored in Amazon S3 which is their own object storage service on the cloud.
– So if you are building the ML models on AWS and has a data need for the amazon dataset, then you would be pretty quickly able to access the data because both amazon datasets and amazon sagemaker Machine Learning services are available on AWS only.
– An amazon dataset contains data related to Satellite, Images, Transport, Economy, etc.
– Now, all you need to do is a type of search query related to specific datasets in the search box and you will be presented with the list of required datasets.
Image Source: GoogleDatasets
Some important things you should know about this website:
– This is the built for finally all sorts of data.
– Google launches this great service in 2018.
– You can search for a variety of datasets by name.
– Their aim is to unify tens of thousands of different repositories for datasets and make that data discoverable for everyone.
Image Source: Microsoft Datasets
Some important things you should know about this website:
– It is a repository having a variety of open datasets which contain a variety of data related to Social Science, Computer Science, Physics, Information Science, Health Care, Biology as well as other types of data.
– Microsoft along with the external research community allows the launch of Microsoft research open data in 2018 as well.
– It also offers a bunch of curated datasets that have been used in published research studies.
– Here also you need to do is the type of search query related to the specific dataset in the search box and you will be presented with a list of required datasets.
Image Source: Quandl
Some important things you should know about this website:
– It contains some of the very good datasets to build machine learning models. According to Quandl, their platform is used by over 400,000 people including analysts from the world’s top hedge funds, assets managers, and investment banks.
– If you need to build a Machine Learning model, pretty quickly from a POC perspective or maybe a small project and show the results to your business users then you can find the already cleaned finance and economy dataset here.
– You can avoid those time-consuming related data cleaning steps by getting clear data as per your need from here.
– One thing to remember here is that while some of the datasets are absolutely free there are other datasets that need to be purchased.
– It also offers to sell your datasets to thousands of Institutional Investors if in case you have a unique data repository of your own so you can utilize their service for selling the data.
Image Source: Reddit
Some important things you should know about this website:
– You can fulfil your datasets on Reddit as well. So, Reddit is a popular social news site but it also has a section devoted to sharing interesting datasets.
– These kinds of discussion boards are called subreddits or r/datasets which is a place to share, find and discuss data sets.
– They also have subreddits like r/DataIsBeautiful where people do discussions related to a variety of data visualization and how one can apply them according to their needs.
– Under the subreddits, there is r/LearnMachineLearning where one can find datasets around related topics of Machine Learning and Deep Learning.
Image Source: VisualData
Some important things you should know about this website:
– This is a very good website if you’re looking for free image-related datasets.
– If you are working on Image processing, Computer Vision, or Deep Learning, then this could be your holy grail of image-based data.
– Visual data contains a number of great datasets that can be used to build Computer Vision or Deep Learning related models. You can search for a specific dataset by using Computer Vision topics such as Image Captioning, Image Generation, Semantic Segmentation, etc.
– In fact, you can search for solutions as well, such as self-driving cars. So, this could be your go-to place if you want to sharpen your Data Science Skills.
Image Source: LionBridgeAIDatasets
Some important things you should know about this website:
– This website offers datasets related to Robotics, Speech Recognition, Text Classification, Image Processing, etc.
– If you have a variety of data needed for building different kinds of Machine Learning models or even Deep Learning models.
– Then you can try a search for datasets here.
– Basically, it uses AI-based Neural Machine Translation to deliver AI training data in 300 languages (NMT).
So, folks, to become an expert in Data Science is a long way. It’s not something you can learn overnight or in a month. You can use these websites which I mentioned in the above part of the article when working on data-centric projects. Most of the data is available for free as I mentioned earlier either through a trial period or entirely open for the public. So, if you want to brush up on your Data Science skills or accelerate in the field of Data Science, then this could be a fantastic opportunity to gain quality experience by working on these open datasets.
Thanks for reading!
I hope that you have enjoyed the article. If you like it, share it with your friends also. Something not mentioned or want to share your thoughts? Feel free to comment below And I’ll get back to you. 😉
You can also check my previous blog posts – Previous Data Science Blog posts.
Here is my Linkedin profile in case you want to connect with me. I’ll be happy to be connected with you. For any queries, you can mail me on Gmail.
Data science websites typically feature articles, blog posts, tutorials, videos, and interactive tools. They cover various topics, including data analysis, programming languages, data visualization, and machine learning algorithms.
Absolutely. Many data science websites offer content that supports professional development, including career advice, industry insights, and information on in-demand skills. They can be valuable resources for advancing your career in data science.
Consider your specific interests and skill level. Look for websites that provide content relevant to your goals, offer clear explanations, and have a reputation for accuracy and credibility. Reading reviews or recommendations from the data science community can also help in making informed choices.
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