Beginner Kaggle Data Science Project Walk-Through (Housing Prices) | With ChatGPT

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#DataScience #KenJee #kaggle
Kaggle Notebook (Housing): www.kaggle.com/code/kenjee/ho...
I walk through the housing pricing dataset on kaggle in this video. Use the accompanying notebook for best results! I also talk about how I used ChatGPT to help with this analysis. I think it is important to think about how data scientists are integrating new tools as they develop.
0:00 Intro
1:28 Approaching the Problem
8:40 Data Cleaning and Exploration
22:00 Exploratory Data Analysis
31:25 Preprocessing Data & Creating a Pipeline
37:32 Model Building
44:15 PCA
49:00 Feature Engineering
55:30 Submitting Results
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Additional Resources:
Pipelines: scikit-learn.org/stable/modul...
Column Transformer: scikit-learn.org/stable/modul...
Column Transformer: machinelearningmastery.com/co...
PCA: • Principal Component An...
Titanic Walkthrough (Easier): • Beginner Kaggle Data S...
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Опубликовано:

17 июл 2024

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Комментарии : 59

@KenJee_ds Год назад

Kaggle Notebook (Housing): www.kaggle.com/code/kenjee/housing-prices-example-with-video-walkthrough Check out the video description for additional resources!

@stag_beats Год назад

Can you make a whole playlist where you go through different projects because you have a very unique way of teaching and I think a lot of people would benefit from that

@KenJee_ds Год назад

I actually have one! ru-vid.com/group/PL2zq7klxX5ATfW-VhOWiLwoSpHhQfL6AG

@slothner943 9 месяцев назад

Half way through and just wanted to say this is very valuble content! Love the walkthrough type if content!

@LaurenSara-sc7zu 10 месяцев назад

You are amazing - this helped me so much - I am on the beginning of my journey and trying to find videos like this where people walk through what they've done. Yours is the best I've come across so far! TY!

@KenJee_ds 10 месяцев назад

Makes me really happy to hear you found this valuable!

@tirsogustavoordaz5792 Год назад

Thank you Ken!!! I had no idea on how to do a kaggle challenge or what was expected, but you went through the whole process and explained what each part was!!! Now I have no excuses for a boring kaggle profile

@KenJee_ds Год назад

💪

@aashigoel760 Год назад

Thank you for explaining this so well! As a beginner this gave me invaluable insight on how to approach a problem on Kaggle.

@KenJee_ds Год назад

Thanks for watching!!

@lakshaykhurana1920 Год назад

Amazing Work Ken. Thank you for explaining so thoroughly :)

@KenJee_ds Год назад

Thanks for watching!

@chiedozieonyearugbulem9363 Год назад

Thanks Ken for the tutorials. I'm not really a fan of your videos because they're not technical enough but I really enjoyed this and learnt a couple of things. Wish you could make more of these

@KenJee_ds Год назад

Trying to do more of these in the next few months!

@chrisluala9937 Год назад

Really AMAZING video! Helps me on my grad journey breaking into data jobs

@KenJee_ds Год назад

Glad you found it helpful! Thanks for watching!

@radionnazmiev546 Год назад

My nga, ure the best!!!

@xixi5896 Год назад

Hi Ken! thanks for making this great tutorial. Can you do tutorial on fine tuning the NLP pretrained model? there are few videos out there but I think you are more advanced on communicating the technical things so it's make us easier to understand. Thanks!

@barisbayar84 Год назад

Great Timing!!Thanks.. following to u with closely

@KenJee_ds Год назад

Thanks for watching!

@jandersonribeiro5702 Год назад

This project is amazing! Can you make more videos like that please?

@KenJee_ds Год назад

Planning to do more in the next few months!

@Data_Man 8 месяцев назад

This has been very informative to see the process and how you included AI in it.

@KenJee_ds 7 месяцев назад

Thanks for watching! Glad to hear it was helpful!

@WingfanSports Год назад

Being on a hill also means less risk of water damage given any runoff will flow downhill. I'm assuming a depression is opposite and runoff will flow and pool towards the hoke

@lightonkalumba Год назад

Immedietly i saw this video i also started creating the same project 🤣 thanks !!!!

@KenJee_ds Год назад

Amazing! Let me know what you think!

@JoEl-jx7dm Год назад

Hey sir, I would wanna know about this, would you recommend using powerbi for EDA process before model building than pandas?

@KenJee_ds Год назад

I generally prefer to do the EDA in python if I can. It really depends on the jobs and skills you're trying to develop though!

@theawesomeharris Год назад

I think to make the code less confusing, the y_test could be replaced by y_valid like some notebooks did so the test suffix is reserved for the real test data. Thank you for your wonderful videos and your codes are always so clean and easy to follow! Cheers!

@KenJee_ds Год назад

Good point!

@ifeanyinwobodo8530 Год назад

Wonderful content as always. But you could literally reset the default theme to 'plotly_dark'. This would have been better than repeating most of the layout update.

@KenJee_ds Год назад

Good point!

@jawunderwood Год назад

As a practicing data scientist, how important would you say it is to handle calculations such as integrals by hand? I studied this stuff 10 years ago and have since had my skills atrophy. Though the intuition is still there. Is it worth going through that stuff again or just diving into the deep end?

@KenJee_ds Год назад

I haven't done an integral once since I started working professionally haha

@eric_welch Год назад

I am a material scientists who works with large data sets and I want to pivot into data science because I've grown to love how data is manipulated and analyzed outside of just scientific applications. academia has been exhausting and I want to refresh things in a new field. Do you by chance do any personal life coaching?? regardless, thank you for your videos, they are both motivational and instructional!!

@KenJee_ds Год назад

I don't don any life coaching, but I do try to respond to all comments. If you have any questions, I'm happy to answer them here. You may also find some case studies on my podcast Ken's Nearest Neighbors!

@eric_welch Год назад

@@KenJee_ds Thanks for your response!! My difficulty lies in finding the best and most efficient pathway to take the knowledge I have (I code in python, I know some advanced excel like macros and VBA basics, I am a theoretician so math is my wheelhouse, I also am familiar with Linux being a Mac person, and I've begun using AI/ChatGPT to help me when coding) and learn what I need to know to apply for a position. I have access to LinkedIn learning and I just found Kaggle through your channel. I am happy to put in the work, I just don't want to waste any time. I really enjoy python coding and SQL is very interesting (I have a small amount of time working with SQL). My goal in pivoting to data science is to find a position either working with a team that manages data for a tech company, or freelance work. My thought is to work through all the Kaggle tutorials, then through the Python + SQL course on LinkedIn Learning, and then actively learn through developing my own projects. I find the hardest information to find when searching data science jobs is how many and at what level do they want your previous projects and where is the best place to look for entry/mid level positions where I can learn on the job as well. Thanks again for your awesome channel and your correspondence with your audience!!

@KenJee_ds Год назад

@@eric_welch This seems like a good approach to me! I generally recommend trying to create products or things people will use as much as possible. Dashboards, etc. are very useful in showcasing your skills to prospective employers.

@eric_welch Год назад

@@KenJee_ds thank you for this information!! i really appreicate your engagement

@AIinsights314 Год назад

Strong suggest Andrew Ng's data science course and also get good at SQL as you transition to data science

@Ckdude100 Год назад

Hi Ken! Have you had to utilize PCA before?

@KenJee_ds Год назад

Not frequently in my day to day work

@RakeshPatel-mg2vc Год назад

can you make a playlist for upcoming projects

@KenJee_ds Год назад

I have one already I believe :)

@shreyashagrawal9650 Год назад

Where have you used chatgpt?

@KenJee_ds Год назад

I used it in bits and pieces in each part of the analysis. I generally say where I do at each step

@shreyashagrawal9650 Год назад

@@KenJee_ds hey I also wanted to know your opinion on being great in feature engineering. Whenever I do these projects I feel that I need to know more about feature engineering. I also want to improve in feature engineering incrementalally being more creative.

@KenJee_ds Год назад

@@shreyashagrawal9650 I think this is a great way to really differentiate yourself! I think understanding the subject area is really important and if you can show you can do that, it can be very valuable

@guesskatana Год назад

Sometimes I think i picked the worst year to get into DS , I do love the field, really do, but when the market requires PHD for entry levels.. you know you got yourself into big trouble

@KenJee_ds Год назад

Realistically, I think it is a tough time to get into any field. AI will be shaping every single one of them in my opinion. I think data science is as promising as others (not sure if that helps)

@lo_ebb Год назад

Thanks for the video, Ken. But with all due respect, it's less of a data science tutorial and more of a ChatGPT demo.

@KenJee_ds Год назад

haha I think you might be right

@togo7022 Год назад

Data science is dead lol

@geekyprogrammer4831 Год назад

The man put a lot of effort on making this video. If you dont have good things to say, remain silent.

@RakeshPatel-mg2vc Год назад

Well, it seems like your statement is more of a humorous exaggeration than an accurate reflection of reality. Data science is far from dead; in fact, it's more alive and in-demand than ever before.

@KenJee_ds Год назад

I don't know if it is dead, but it is definitely changing. One of the reasons I'm pushing using AI tools like this in practice is that I believe they will be a massive part of any career going forward

@ifeanyinwobodo8530 Год назад

No wonder the recent focus on ChatGPT. Thanks for this