The goal is to produce the best possible model for the problem. Participants then will approach these problems with various techniques, algorithms, and machine learning processes. Here, the competitions are hosted with detailed data, rules and description for specific problem. This is a platform for people who are beginners and are simply just machine learning enthusiasts as it is for veteran data scientists. The competition however, permeates the global community of 194 countries and over 8 million users. There are various types of Kaggle Competition which we will go through in a moment. Since 2010, Kaggle has been a platform to offer hundreds of machine learning competitions which in turn has become a public data platform and a workbench for data science which is completely cloud based. Furthermore, it also provides a platform to collaborate with other machine learning engineers and data scientists to explore datasets, build models through data-science environment which is completely web based, and participate in competitions to solve machine learning and data science problems. However, it focuses majorly on data scientists and practitioners of machine learning. #KAGGLE SPELLING CORRECTOR CONTEST SOFTWARE#Just like our C# Corner is a global community of software and data developers and engineer which focuses on adding value to the lives of people in technology, Kaggle is also a community. We’ll explore more about the machine learning in further articles to come. This is the first introduction to Kaggle. This article is a part of the Kaggle Series. In this article, we’ll learn about Kaggle, what the hype about Kaggle Competition is all about and explore the different types of Kaggle Competition.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |