Kaggle is not only one of the best websites to learn datat science but Kaggle is also a community that supports Data Science projects among many other options available. Kaggle's purpose is providing you with useful codes and resources to get you started on your own projects from scratch, as well as to provide you with big data and data reserves to do many things. Kaggle hosts a series of competitions each year, which you are free to compete in and discover for yourself. Kaggle also provides you with some effective solutions that you can read and learn to experiment with for your projects. Overall, Kaggle is one of the top free website options that you should absolutely consider using as a beginner or professional Data Science enthusiast.

Users enjoy contests and opportunities to keep learning. There are many positive stories of newcomers to the competitions who have turned out very well, even winning some awards. Data scientists of all levels can benefit from the resources and communities on Kaggle. Whether you're a beginner, looking to learn new skills and contribute to projects, an advanced data scientist looking for competitions, or somewhere in between, Kaggle is a good choice. People describe Kaggle as beneficial for users who already have some background in data science. Also, most micro-courses (and all competitions) require some basic knowledge of machine learning data science languages. Once users have that knowledge, they can use Kaggle to continue to learn and improve their skills.

Website: https://www.kaggle.com/

Papers With Code provides knowledge related to research papers with concise codes attached to them. This is a great platform and a completely free website for all enthusiasts to access and learn more about data science, machine learning, etc. Imagine you are searching for a specific machine learning research paper on Google. You find something interesting and want to see the code implementation, the data set and the result. You will spend hours looking for them individually. Now imagine you have to repeat this step 30 more times for your thesis or research project. It would be a real nightmare.

Papers With Code will assist you in synthesizing knowledge and make reading research papers just got a whole lot easier, giving you a quick look at their abstracts, code implementations, results and data sets. In addition, you can compare the architectural results of different models on a similar topic using the leaderboard feature. It's more than just finding a research paper. You can filter your search using tags across different tasks, subtasks, models, datasets, and methods for in-depth topic exploration. Papers With Code is a community-driven platform for learning about state-of-the-art research papers on machine learning. It provides a complete ecosystem for open-source contributors, machine learning engineers, data scientists, researchers and students to make it easy to share ideas and drive data science development.

Website: https://paperswithcode.com/

Intellipaat is a global provider of online professional training services. They offer some of the most up-to-date, industry-designed certification programs, including courses in Big Data, Data Science, Artificial Intelligence, and 150 other top-trending technologies. Intellipaat offers both Data Science tutorials on their website and some video tutorials available on their YouTube channel. The tutorials are extensive and cover many topics in detail. For anyone who wants to fully learn about Data Science systematically, Intellipaat has covered almost all the concepts as well as real projects for hands-on experience.

They help professionals make the right career decisions, select trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learners' progress and provide issue industry-recognized certifications. In addition, Intellipaat also helps enterprise customers upskill their workforce and keep them in sync with the changing digital and technology landscape. Intellipaat is one of the best programs that offers information technology courses with real-time hands-on projects. The course is very well structured and covers all the essential topics needed to master the subject. The content is presented clearly and concisely, making it easy for people to understand even the most complex concepts.

Website: https://intellipaat.com/

Dataconomy is one of the newest website to learn data science. It features the usual big data news and technology trends as well as editorials from industry experts. But what sets it apart from other data science centers are the resources to build a career in data science. The site offers a free IT study library and a beginner's guide to getting started. For those already in the industry and looking to advance, it also has a job board and candidate database.

Dataconomy is a news website that provides the latest in data analytics, with a focus on AI and data science. Specific use cases on Dataconomy provide readers with real-world examples of how these technologies can change our daily lives. For example, an article mentions the use of AI for crowd management, "Where is AI used in crowd management and how does it work?", "How can AI help with COVID-19 crowd control?". Terms like AI, Machine Learning or data science are used as buzzwords. In addition, Dataconomy also offers courses on these technologies. Dataconomy is the leading portal for news, events, and expert opinion from the world of data-driven technology. Founded in Berlin, a hub for data science innovation, they provide a global network of industry-renowned contributors and local communities all across Europe.

Website: https://dataconomy.com/

InsideBIGDATA focuses on the machine learning aspect of data science. It covers big data in information technology and business, machine learning, deep learning and artificial intelligence. Guest features provide insights into industry perspectives, while news and Editor-in-Chief articles highlight important developments in the field. All articles are neatly categorized by topic to focus on any particular topic. The website also maintains a wide range of resources for events, work and research reports, etc. This is a resource for anyone who wants to stay up-to-date with machine learning. Founded on August 28, 2011, insideBIGDATA is a news website that distills news, strategies, products and services in the Big Data world for data scientists as well as IT professionals and businesses. Their editorial focus is on big data, data science, AI, machine learning, and deep learning.

InsideBIGDATA is one of the best websites to learn data science. It can help its partners raise awareness and sales in the rapidly growing AI and data analytics market. Since 2011, Daniel Gutierrez and his editorial team have provided in-depth advice to organizations looking to leverage massive amounts of data into a competitive advantage. Over 400,000 data scientists, IT and business executives come to insideBIGDATA for news and strategic insights on AI and big data strategy. InsideBIGDATA can help your company stand out in a crowded and confusing market at times that matter most.

Website: https://insidebigdata.com/