For those of you who like to have a high-level overview, NASA's Earth Data is the right place. It presents probably the largest collection of georerelated data sets on land, climate and bodies of water. In their data sets section, they show you several articles that contain several sources. Such as the “11 Best Climate Change Datasets for Machine Learning” and “The 50 Best Free Datasets for Machine Learning”.
Since they are a company that is based on data sets, their recommendations are undoubtedly excellent. You should already be very familiar with Kaggle. Companies have published their data on Kaggle to harness the strength of the community and solve their real-life problems. This makes Kaggle the perfect place to find data sets with real problem statements to solve.
If you want to practice creating machine learning models without the hassle of generating or labeling data, Kaggle is the best place for you. In addition, the Kaggle notebook section allows users to share their codes and models, which are an excellent learning resource. I highly recommend beginners to find their first data science project on Kaggle. These datasets are great for machine learning, and you can easily download the datasets from the repository without needing to register.
If you're trying to learn more about a specific type of problem and want to talk about learning with data scientists around the world, Kaggle is the place for you. Most of today's major technology companies originated in Silicon Valley, and it's only logical that the U.S. government is also heavily involved in data science. Gov is the U.S.
government's main repository of open data sets. Department of State, which you can use to research, develop data visualizations, create web and mobile applications, etc. If you're looking for a great overview of all the available datasets without specific restrictions, Google is the best place to start. The data set is an unbiased representative of the population and provides useful information in the form of information after a thorough analysis.
The European Organization for Nuclear Research (CERN), located near Geneva, has made many of its incredible research data available to the public. It is made up of many data sets collected from various sources, along with some examples of using the data sets. You'll acquire the latest data analysis and visualization skills by working on real-world data sets under the guidance of trained experts. Online climate data is a repository of global marine data, local climate data, information on climate, rainfall, regional snowfall, etc.
A branch of linguistics, computer science and artificial intelligence called natural language processing studies how computers and human language interact, with a focus on how computers and human language interact, with a focus on how to design computers to process and analyze massive amounts of data in natural language. You can use these data sets to investigate data points and summarize the results using exploratory data analysis. The FBI's Crime Data Explorer (CDE) aims to increase awareness about the exchange of criminal and non-criminal police data, increase transparency around them, improve law enforcement accountability, and lay the foundations for public policy that makes the country safer.
