What Kaggle is all about? Know the reasons why it is one of the most popular Data Science platforms.  

Find out what Kaggle is and why it is one of the most popular platforms for data scientists. Get answers to Kaggle’s most frequently asked questions.  

You will be knowing all about 
What Kaggle is? 
What makes Kaggle worth your time?
Is Kaggle is free? 
What happens if you win a reward on Kaggle? Is it simple for them to transfer the award to you, or do you have to provide them certain documents? What are the general stages to receiving your prize?
Kaggle jobs? 
What are the Kaggle competitions?
Who is the father Kaggle? 
Can we download the datasets from Kaggle for free? 
Does Kaggle provide GPU? 
Are Kaggle datasets reliable? 
Are Kaggle datasets open-sourced?
Where can I find my notebook output in kaggle?
Do we have a Kaggle mobile app? 
How to start your journey Kaggle? 
What Kaggle is?

So, ya. Kaggle is a platform that allows people to compete in machine learning competitions which are based on Machine learning Tasks. In this platform, data scientists across the globe are attracted, Nourished, trained and challenged to solve Data Science, Machine Learning and predictive analytics problems. It has over 5,87,000 active members across. 246 countries and it receives over more than 2,00,000 submissions every month. In additional to collaborating with other Kaggle User’s, Users can find the Data sets and publish them, Use GPU integration notebooks it helps you to solve all data science challenges. In 2017 Google acquired, this Online Platform (It’s been invented in 2010 by Anthony Goldbloom and Jeremy Howard) to help the new players and also the professionals in their Data Science Journey by providing Powerful tools and resources. As of till the date this online platform has over 14 million’s users registered in Kaggle. Kaggle is the destination for data science enthusiast’s all across the globe to compete the prizes and boost their Kaggle rankings every day. We are altogether having 94 Kaggle grandmasters.  
 
As you may have heard about Codechef, Hackerrank etc., Kaggle is the same but the competitions are restricted to machine learning, data science, Deep Learning and Artificial Intelligence. Kaggle will give you a quite valuable experience in understanding what goes into finding feasible solutions to big – data problems as well.  Kaggle is for everyone, from students to the world’s most experienced data scientists and for artificial intelligence people as well. Kaggle points and medals are proof of your progress, So it is quite possible that your progress may attract headhunters and recruiters, thus opening up a variety of new employment opportunities.

Last but not the least, Mentioning Kaggle experience in your data science resume positively impacts your job application. But all these benefits also apply to highly experienced data scientists. No matter how experienced you are, you can still benefit from kaggle. There are continuous learning and improvement possibilities on this platform. and ya, off course, cash prizes can also won in this competition these are equally attractive.

What makes Kaggle worth your time?

Through Kaggle, Participants can join the biggest Data science community in the world, This is ultimately the platform trusted by companies such as Walmart, Facebook, Instagram, Youtube and Walton capital. By participating in kaggle, Data scientist get more exposure and opportunities to launch their Careers.

Kaggle also hosts a variety of live discussions between numerous people, which are very interesting, stimulating, and informative. In these discussions, you can either find expert advice or discuss your own. 


Kaggle have been invented by Anthony Goldbloom, a remarkable 28-year-old econometrics expert, is the brains behind this data science platform. His goal was to use crowdsourcing to offer vast amounts of open data to the masses. Kaggle, according to Goldbloom, has brought data scientists and companies together in a meaningful way. His idea didn’t get enough traction in Australia, so he moved to Silicon Valley in the United States. Goldbloom mentioned his surprise at how much talent is available that was previously unavailable to firms before the launch of Kaggle at a recent tech conference.

Is kaggle is free?

Yes, The kaggle platform is ultimately free for everything, You can also access and work with their publicly released datasets for free. However, different datasets have different licences, and many of them are not free to use and distribute.certificates obtained from courses, datasets, participation in competitions, discussion sections, etc.

What happens if you win a reward on Kaggle? Is it simple for them to transfer the award to you, or do you have to provide them certain documents? What are the general stages to receiving your prize?

No matter how many times you won the process is gotta be the similar.

You’re officially a winner after the tournament ends and the private leaderboard is revealed (unless you cheated, in which case your name will be removed). 

 

Kaggle normally posts a congratulatory message on the discussion board after performing its standard anti-cheating tests. 

 

Within a few days, a Kaggle representative will contact you through email and walk you through the steps to claim your monetary award. 

 

Tax paperwork, giving the winning model code, and (optional) creating a blog post are among the stages. 

 

For the United States, the tax form is rather basic. You only need to provide your social security number and a bank account to complete the process.

Although sharing the code is usually simple, certain competition sponsors may prefer it one way or the other. This should be a straightforward stage if you performed a good job of keeping track of your progress and maintaining your code. 

 

It normally takes a couple of weeks for the sponsor to review the code once you release it along with tax paperwork. 

 

If everything looks good, Kaggle will pay you. 

 

It normally takes less than a month from the time a competition closes to seeing money in your account.

Kaggle Jobs?

“Kaggle Jobs” was a data science job sharing platform opened by kaggle in 2014. The purpose of this platform was for companies to find the best candidates for their jobs, and for data scientist to find the right companies to work for. The kaggle jobs platform was closed by kaggle in 2020 due to insufficient inactivity. This section, on the other hand, will present you with some Kaggle Jobs alternatives as well as additional job-searching platforms: 

 

Linkedin is one of the most widely utilised job-search platforms. Simply typing “data scientist” into the search bar will bring up relevant job opportunities. You can also select more specific filters, such as remote/office, geography, company size, and so on.

What are the Kaggle competitions?
Kaggle competitions are machine learning tasks created by Kaggle or other companies such as Google and WHO. If you win the competition, you can win real money prizes. The 

 competitions differ in the type and complexity of the questions. Even beginners can participate. However, high competition is much more interesting, and the leading position in  competition is a great addition to the resume of machine learning engineers. However, advanced competitions are much more fun, and a top spot in one is a great addition to your machine learning engineer profile.

Competitions take place in three different formats.

Simple Competitions:- These are your standard Kaggle competitions. You get to information, construct a demonstrate, make a accommodation. At that point, your comes about are checked by the has of the competition and you’re credited a score on the leaderboard. The larger part of competitions on Kaggle take after this format. 

 Two-stage Competitions:- 
Every challenge in a two-stage competition has two parts. Stage 2 includes a new test dataset that is made available at the start of the stage. To gain access to it, you must first submit a submission at stage 1. To be successful in such competitions, you must carefully read the rules and keep an eye on the deadline.

In code competitions, submissions are made from inside of a Kaggle notebook (we explain later on what it’s miles). these competitions, in a manner, are fairer due to the fact all the customers have the same hardware. Code competitions may also have constraints at the Notebooks you can publish, for example, CPU or GPU runtime, capacity to apply external statistics, and get entry to to the internet. So reading the regulations here is likewise very important.

 

Code Competitions:- In Kaggle competitions, all of us competes in groups of one or more people. every crew need to have a crew leader. you could invite your buddies or be part of a group of other users via the team tab within the competition. Your team can also merge with some other group, as an instance, in case you realize that submitting a version on your personal is too difficult. however, you can best do it until a sure deadline.

Who is the father Kaggle?
Kaggle launched in 2010 as a machine learning competition and has since expanded to offer a public data platform, a cloud-based toolbox for Data Science and artificial intelligence eduction. Jeremy Howard and Anthony Goldbloom are the companies key personnel.  Nicholos Gruen was founding chair succeeded by Max Levchin. The company raised $25 million in equity in 2011. Google announced it was acquiring kaggle on march 8, 2017.

Can we download the datasets from Kaggle for free?
 
To determine what purpose the datasets can be used for, it is important to look at the license the datasets. For example, some datasets cannot be used in academic publications or for commercial purposes. If you want you can download each shared dataset without charge by using The Kaggle API or with your Kaggle Notebook.

Does Kaggle provide GPU?
 
In Kaggle note pads, you’ll activate a GPU at any time. You’re permitted to utilize the GPU effectively for a most extreme of 30 hours per week. The GPU given by Kaggle is Nvidia Tesla P100 GPU with 16GB memory.

Are Kaggle datasets reliable? 
The endless lion’s share of Kaggle datasets are Reliable. You’ll judge how dependable a dataset is by looking at its upvotes or by investigating the note pads shared utilizing the dataset. In any case, not all Kaggle datasets will work for real-life use cases.

Are Kaggle datasets open-sourced?
Definitely. In order to determine how Kaggle datasets can be used, look at their licenses. Open-Source data sets can be used for a variety of purposes. Academic publications and commercial purposes are not permitted in certain datasets.

Where can I find my notebook output in kaggle?
First and foremost you must commit your notebook in order to access Kaggle’s notebook outputs. To do so, go to the top left of the notebook and click the “save Version” button. Two kernels will continue to work once you commit your notebook/ The first is the one you’re working on right now, and the second is the background kernel you’ve already committed the kernel will build output files that are ready to download in the background. Files will not be saved in interactive notebooks. Now Click on the back button on the above left to return to the page with the tabs Notbook. Code, Data, Output and comments after the kernel in the background has completed. When you go to the output tab, you’ll notice that the output files are get to download.

Do we have a Kaggle mobile app? 
Noop, there is no mobile app for kaggle at this time. But ya, most of the youngsters to senior player are demanding for the app, Lets hope that it should get launch sooner.

How to start your journey Kaggle? 
In the event that you are a newbie, start by entering the competitions in the “Getting Started” section of the competitions area. You can also look through other people’s notebooks. If you have more experience, you can immediately join in and compete in active competitions.

Conclusion:- Over all, Kaggle is gotta be a tremendous platform for data scientist, Data analyst, Data Engineer, Data Architecture, Data analysist, machine learning etc.



Happy coding!!