Kaggle vs Github - Which is Best for Your Data Science Portfolio?

In this video, I compare the kaggle and github for data science portfolios. Both are great platforms, but which is best for you?


Kaggle and github are the two many ways that you can showcase your work as a data scientist or aspiring data scientist. You also constantly hear me blabbering about how valuable each of these platforms are. In this video, I will compare the two platforms to determine which is the best place for you to host your data science portfolio on.

Kaggle is arguably the largest data science community out there. It started as a place where people could go to compete against each other in data science competitions. It still has these competitions, but now it has evolved into a one stop shop for data science learning, awesome datasets, and engaged forum. On Kaggle, you have a profile where you can earn rankings for sharing your work and placing well in competitions.

Github, on the other hand, is more focused on function. Github is one of the hosting platforms for the versioning control system called git. Git allows you and your team to keep track of the changes in your code. This can be extremely valuable when you have multiple people working on a project. Git has also evolved into a place where you keep and maintain all of the code that you write. Many developers use their github profile & repositories as a living documentation for all they have done.

Kaggle:
+ Simple Reward System
+ Great Community
+ Discoverability
+ Clear Focus on Data Science
- Limited ways to share
- limited in the skills you can showcase

Github:
+Shows you know GIT
+ Highlights Documentation
+ Illustrates More Diverse Skillset
+ More Flexibility
-More difficult to use
-Greater time commitment
- Additional skills like git & markdown

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[KenJee_ds]

Thanks for watching everyone! Would love to hear about the projects you're working on in your portfolios below!

[kirubakaran]

As always Great video ken.
Both Kaggle and GitHub are great, I agree with the complexity of GitHub for sure.

[ross]

Tldr; it doesn’t matter — put either or both links on your CV — focus on building great products 👍

[AssadJawaid]

Reading some of our minds! I'm up at 2:00am pushing projects to Github and this video has assured me that Github is right for my projects and goals. You're awesome Ken! Bed time now.

[scapri]

Thank you for putting compared view for git & kaggle . It will help beginners to understand difference and importance

[CENTRALEAGLE]

Man I have to binge this videos to get my portfolio up to date

[thomasgeorgethomas]

Ken, I took out the frustration on the like button. I have been Team GitHub for a while now. After seeing this and a few of your kaggle content, I am going to try Kaggle out. Also, your cooking and your new drone shots look good :)

[candidlyvivian]

Hey Ken!
Love all your content and completely agree 😊
I’m a fellow data scientist (and aspiring small YouTuber!) hoping to influence some more people out there in STEM 🙂

[infinitedata]

Hi completely agree with you. Also thank you for video.
I think creating kaggle profile is like "margherita pizza" without toppings, GitHub is messy similar to different types of topping & cheese, & we have to properly add on pizza (similar documentation) but, it adds real taste in pizza.
Finally Own portfolio is tells how well chef you are in your cooking.

[strategy_gal]

You've done a great job in breaking down the details here, Ken! I agree though that Kaggle has a great community, better than Github. Nice video as always!

[Ibraheem_ElAnsari]

Ken: Git can be messy; also perfectly spreads tomato sauce on the dough :3 .. Finally we got to see some of ur cooking :) Tina was right you can cook damn good 💙
As for the kaggle vs github debate, I put my projects on my portfolio website, and I chose github over kaggle because of the production part of projects

[phillaysheo]

5:45 what does she say here? I can't understand the accent

[piyushzope]

Hey, Ken... Thanks for the video 🙌 Best wishes to you 🎉🎊 150 K soon ..

How many pizza have you baked for this video? 👀😁

[BharatR]

So you're not able to say which one is better for a portfolio, but which of Kaggle vs GitHub do you really use more on a day-to-day basis?

[harshitsati]

ahahaha @tina huang ask Ken to do a full on cooking video, I still remember him eating the soup dumpling during your livestream and you appreciating his cooking skills

[muskansawa]

Thanks as a beginner I am struggling with how to make my portfolio not to mention kaggle is already confusing, I have done 2-3 projects, like should I make my own website, or kaggle or GitHub or everything, it is so confusing and time consuming 😣
Also while I am making project I think of taking notes but that is so time consuming I am already dealing with bugs, at the end I am confused what all should I put in readme

I have done projects not made portfolio yet, mask detection, rasa chat bot and rl path finder

[arcaneknight]

I have a decent portfolio, a clean resume, and the Google Data Analytics Professional Certificate with an MBA and 2 years as a financial analyst being advanced in Excel.

I also have some visuals on my Tableau public. Still getting rejections left and right. But I will make it as a data analyst/scientist.

[kornlie]

Instructions unclear: I started making pizzas and left my Data Science career.

[eyitaderinsola]

Here just to report this as my day thirty something for my #66daysofdata... Thank you very much Ken.

[anubhavgoyal]

I am hungry now after seeing the starting xD