Digit Recognizer – Introduction to Kaggle Competitions with Image Classification Task (0.995)Greg SurmaBlockedUnblockFollowFollowingDec 2In today’s article, I am going to show you how to master machine learning skills by participating in Kaggle data science competitions..Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges..Kaggle got its start by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science, and short form AI education.Kaggle offers 5 main functionalities i.e Competitions, Datasets, Kernels, Discussion and Learn.Feel free to check all of them but in this article, we will focus only on the Competitions.CompetitionsProbably the most attractive and popular part of Kaggle, especially for the competitive ones who are motivated by rivalry with others.Example competitionsCompetitions usually follow the same pattern.Given a problem and a corresponding dataset.Create a solution that can efficiently generalize and solve a problem on a new data that weren’t explicitly seen by the model.Evaluate a solution and compete with others.Win knowledge or $.To get a better understanding of how competitions work, let’s take part in one of them!Digit RecognizerAbout the CompetitionStart here if you have some experience with R or Python and machine learning basics, but you’re new to computer vision.. More details