1---Featured Competitions🤑🤑
These are comprehensive Machine Learning challenges posed by difficult, often business-oriented predictive problems.
For example,
1⃣️Using customer's history of buying insurance to predict the price they are more likely to accept
2⃣️Predicting the presence and type of toxic comment in Wikipedia
3⃣️Building a ML algorithm that can beat Zestimate (which says it is a great issue concerning the value of 110 million homes in the United States)
2---Research Competitions🧐🧐
More experimental than the previous competitions.
For example,
1⃣️Google's landmark recognition challenge (given a query image, Kagglers needs to find all the images that match that landmark in a dataset of 1 million images containing 15k landmarks)
2⃣️Endangered right whale identification challenge
3⃣️Wikipedia document classification (divided into 300,000 categories) .
Although these competitions do not have a substantial prize money, but they are some need to solve and practical significance of the research.
3---Getting Started Competitions🤯🤯
The Getting Started Competitions is the most beginner-friendly competitions on Kaggle, and it's semi-permanent, designed to help novices like me make the first move in machine learning. 🥹
For example,
1⃣️My previous house price forecasting challenges
2⃣️Number recognition
3⃣️ML from disaster--Predict survival on the Titanic
(the rankings are rolling, valid for two months and must be resubmitted at the end of the competition.)(in addition, Kaggle learn helps newcomers learn the skills they need to take part in Kaggle competitions.)
4---Playground Competitions🥳🥳
A playground game is a“For fun” Kaggle competitions. These contests typically offer relatively simple ML tasks, as well as for Kagglers interested in practicing new types of problems in low-risk environments. Prizes range from honors to small cash prizes.
For example,
1⃣️Create an algorithm to distinguish a dog from a cat
2⃣️Predict the total travel time for a trip to New York City