Beginner Kaggle Data Science Project Walk-Through (Titanic)

In this video I walk through an entire Kaggle data science project. I use the titanic kaggle competition to show you how I start thinking about the problems. I also show you the systematic approach that I use to explore the data, build the models, and submit the solution.

Feel free to follow along with the code! You don't need to understand everything that is going on under the hood of the algorithms, for a beginner, learning to implement them should be enough.

This video covers
- Project Planning
- Data exploration
- Data Visualization (light)
- Replacing null values
- Feature engineering
- Data Cleaning
- Model Production
- Model Tuning
- Kaggle model submission

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[KenJee_ds]

Thanks for watching! Feel free to upvote the kaggle notebook if you found it helpful!

[vedantbhardwaj]

I gotta be honest here, started learning Data Science on my own but every now and then I become lazy AF and I just stop for a period of 2-3 weeks. It's difficult to be consistently committed to the program and learning. Although I hope I slowly complete the training.

[larryhatcher]

I took several days and went through this. It was a good starting point. You simply can't learn it all in a few days. As Ken said, this is to be used as a framework. Learning the various models and the revaluations are extremely important

[alexmyers]

I'm here because of GPT4. Before GPT4 was released, I had a decent basic understaning of data science applications, but did not have the time to learn all of the Python syntax. Now, with GPT4, all I have to do it understand how to explain what i want to do, and GPT4 takes care of all the coding. It wouldn't be hard to create this entire notebook in 2-3 hours of time.

Wild times we live in!

[hornfan]

Thanks ken— never used Kaggle or even done any data science projects. The detailed analysis (including the nuances MOST IMPORTANTLY) is really making this digestible— not to mention applicable

[zmvptom]

Thanks! It was insightful and too the point. A lecturer pointed to this website. I'm just starting off but haven't put my learnings together such as this video shows. Now I'm aware I have more self teaching to do

[sandrafield]

Thank you so much for your videos, I watch them all the time. I'm in a masters DS program, and I feel like I'm actually on the titanic right now, going down down down. Here you are handing me a raft, a dingy, and also giving me a map to a huge lush closeby island where there's an escape airport.

[fablab]

Since you made a confession at the beginning, Imma hit you with one myself: I'm been trying to study DS consistently for a year and half and bruh... I find it incredibly frustrating. I do not feel particularly smart enough to do projects on my own but I really like your content, so I will stick around. 😬

[paigec]

This video came at such good timing! I just taught myself python and started the titanic project today but was feeling so unsure about everything! Thank you for your videos!!

[mehsaniphysicsmathmatics]

Thank you Ken,
just now I finished one course that focused on Titanic survival, your attitude makes more sense for me.

[MaiNguyen-nlpp]

You have saved us hours of self-exploration! Thank you, Ken :D Hope you can make more videos like this!

[kbillotta]

Thanks Ken... I just got my physics degree and i want to become a data scientist..Your videos are helping a lot! Thanks

[omjeeshukla]

I don't understand who are these people to dislike. If you can't support him stop disliking him at least someone is putting in efforts to make knowledge and learning process easy what is the problem of you dislikers.

[nikhilatluri]

Thank Ken Jee
For spending your time during this lockdown for educating youngsters like us

[ash]

Wow this is a gold mine! Can't believe you went through all that work! Looking through all this, it seems like to become a great data scientist, it's not just about the skill. It is about intelligence and your ability to understand and see things that aren't clear to the normal human being. I have a fairly normal IQ and i am currently wondering if i should continue building my skills in order to become a data scientist.

[struanclark]

You’re content is always top class Ken! As a beginner in this field you’ve taught me so much through your videos. Please keep them coming

[hendrywijaya]

Ken, I Think about the project planning which on Histogram and Boxplot should be place after missing data,
So Here's the plan order from the top
- understand the Type of data
- value counts
- missing data
- histogram and boxplot
Then continue by following step you make from
- correlarion analysis
- exploring interesting fact
Until scaling

[anurekha]

I am glad that I came across your channel. Always wanted to try titanic dataset on kaggle but didn't. now I m gonna try it. thanks.

[communicationvast]

fantastic video, my friend. I started this project in R studio, ran into some walls, and got extremely frustrated. Listening to your process is extremely helpful. Thanks for the upload.

[Om-idqr]

I'd like to say that I discovered a gem of a channel today.