Importance of Kaggle in Mastering Data science

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 In this article, we'll see how can we use Kaggle to master data science. so, first of all, let's see what is Kaggle

Kaggle

Kaggle is the community of Data Scientists and Machine Learning enthusiasts who share, discuss and compete with each other on the kaggle platform. They also share their own made Datasets for others to carry out predictions, recommendations, or analyses, and much more. Kaggle was started in 2010, at that time they offered machine learning competitions but now also offer a public data platform, a cloud-based workbench for data science.



Why Kaggle?

  • It hosts over 23,000 public datasets and more than 400,000 public notebooks.
  • There are 536,000 active Kagglers from 194 countries.
  • Kaggle is a Website for sharing ideas, getting inspired, competing against other data scientists, and learning new information and coding tricks.
  • Kaggle also hosts many Data Science competitions with insanely high cash prizes.



Now that we have seen what is Kaggle, Let's see what are the resources that it offers.

Kaggle Resources

There are many resources available on Kaggle that will help you in learning Data Science from beginner-level to advance level.



Let’s see all these resources in detail-:

Competitions

Competitions in Kaggle are a good way of testing our knowledge and see where we stand in the world of Data Science and Machine learning.



Beginners should start by practicing the old competition problems like the Titanic dataset, Digit Recognizer, etc. After that, we can go to active competitions and can even win prizes.

Datasets

Kaggle is a collection of more than 23,000 publicly available datasets and increasing each and every day as the number of contributors increases and these datasets can be used by you for your projects and experiments. Many of these datasets have been downloaded thousands and millions of times.


We can use the search box to search for public datasets on whatever topic we want to range from movies to science to popular cartoons & mangas! You can also create new public datasets on Kaggle.

Code and Notebooks

There are more than 400,000 notebooks available which are various different approaches shared by Data Scientists and Analysts on these datasets. They are available online so you don't need to download them and they can easily run online.


You can edit it using the “Copy and Edit” button. You can also create a new notebook from scratch by clicking on the “New Notebook” button.

Discussions

This Discussion section includes the Kaggle Forum, QnA where you can ask for advice from other Data Scientists and also take part in many discussions going on.



General and Getting Started are beginner-friendly, whereas Product Feedback and Learn is QA-related to Kaggle Courses.

Courses

There is an entire set of Free courses related to Data Science and Machine Learning on Kaggle that will teach you whatever you need to know to get started.



These courses are the fastest way to start on Kaggle. The Beginner-friendly courses start from the basics like Python, SQL, Data Visualization and move on to more advance topics like Machine Learning, Deep Learning, Geospatial Analysis, etc.

Blogs



Kaggle has its own blogging channel at Medium that contains interesting articles like Neural Networks, Interviews with top Data Scientists, etc.

Kaggle offers so many things at free cost which is very helpful for aspiring Data Scientists.


Now let's see how can we improve our Ranking on Kaggle and become one the great Kagglers.

Kaggle Medals and Progression System

Kaggle also provides an amazing progression system that uses performance and marks our growth as a data scientist on Kaggle. This includes awards and badges to reward us for our hard work.

Medals are a standardized way of recognizing and rewarding excellent pieces of work across the categories of expertise on Kaggle, rules Change for each Section, let's see all the section and their rules for earning medals.

Competition Medals



Dataset Medals

Notebook Medals


Discussion Medals


Now that we have seen how can we earn medals Let's see what will happen if we earn medals?

Performance Tiers

Each section like Datasets, Notebook, Discussions uses the progression system which advances us from novice tier to Grandmaster tier. Within each category of expertise, there are five performance tiers that can be achieved in accordance with the quality and quantity of work you produce: Novice, Contributor, Expert, Master, and Grandmaster

Novice

Novice is the Tier you are awarded when you join the Kaggle Community and successfully register in it.

Contributor

Expert

Master

Grandmaster


As we have covered all the basics that can be beneficial for you to master Data Science but remember to aim for learning and not for winning from the get-go and if you learn efficiently, you will surely win.



That's all for this blog. If you like it, Don't forget to tell me your thoughts in the comments below, till then Bybye!!