Is winning a Kaggle competition prestigious?

I have won two competitions over the past 2 years, neither were first place and both were significant effort invested. I had very little background in ml before. Of course within the kaggle community it is prestigious.

Do Kaggle competitions help?

Another advantage of taking part in these Kaggle competitions is that they are a great booster for your resume. Having excellent and consistent performance in competitions can be a plus point while applying for an internship or job in machine learning and even get you the coveted position.

Is Kaggle realistic?

It should be clear by now that Kaggle is not the same as real world data science. It provides almost no experience in problem definition or model implementation, which are often the hardest parts of machine learning. It also does not require participants to write clean code or adhere to data engineering best practices.

How many Kaggle grandmasters are there?

It is a learning process that requires consistency, active participation in discussions and engaging in competitions regularly. Currently, there are only 94 grandmasters in the world.

Do companies recruit from Kaggle?

Doing well on Kaggle can help data scientists land an interview, but certainly not a job on its own. This means that most companies may not base a hiring decision on a candidate’s Kaggle ranking alone.

Are Kaggle challenges worth it?

Kaggle can be a great way for newcomers to build data science skills. At a certain point, though, its artificial nature and emphasis on competition become harmful. It’s a great ecosystem to engage, connect, and collaborate with other data scientists to build amazing machine learning models.

Is Kaggle enough to learn data science?

Data scientists of all levels can benefit from the resources and community on Kaggle. Whether you are 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 place to go.

Can I get all past Kaggle competitions solutions in one place?

I always wanted to get the links to the solutions of all past Kaggle competitions at one place. I thought it would be a very good reference point many a times. Thanks to Kaggle team for the Meta Kaggle dataset, now I am able to get them in one single place through this notebook .

Is XGBoost the new Kaggle winner?

As long as Kaggle has been around, Anthony says, it has almost always been ensembles of decision trees that have won competitions. It used to be random forest that was the big winner, but over the last six months a new algorithm called XGboost has cropped up, and it’s winning practically every competition in the structured data category.

What is the best machine learning approach for Kaggle competitions?

According to Anthony, in the history of Kaggle competitions, there are only two Machine Learning approaches that win competitions: Handcrafted & Neural Networks. Well, that should make things simple… This approach works best if you already have an intuition as to what’s in the data.

What is the best competition for data science?

Kaggle has become the premier Data Science competition where the best and the brightest turn out in droves – Kaggle has more than 400,000 users – to try and claim the glory. With so many Data Scientists vying to win each competition (around 100,000 entries/month), prospective entrants can use all the tips they can get.