Solving Machine Learning Problems On Kaggle Vs Real Life

According to Kaggle's 2020 edition of the State of Machine Learning and Data Science report -- which includes insights gathered from a survey of 20,036 Kaggle members -- more than 55 per cent of data scientists have less than three years of experience, and six per cent of professionals pursuing data science have been using machine learning for more than a decade. The study further revealed that machine learning has become more rooted in the companies where Kaggle scientists work. Nearly 31 %of data scientists claimed well-established machine learning methods, up from 28% in 2019 and 25 % in 2018. Though Kaggle competitions are great to practice data science skills, are they really that different from real-world data science and machine learning work? This article will unveil the difference between the two, especially when solving machine learning problems on Kaggle vs real life.