Revealing My New AI-Powered Data Science Workflow
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- Опубликовано: 1 июн 2024
- In this video, we dive into the world of AI tools and explore how to use ChatGPT and GitHub Copilot to complete data science projects quickly and effectively. The key to using these tools is to ask the right questions, just like in data science itself.
👉🏻 Link to the document: docs.datalumina.io/b2JREATfE5...
⏱️ Timestamps
00:00 A new era for data science
03:05 Creating a Conda environment
06:08 Loading the data
07:28 Understanding the problem
11:01 Processing the data
20:33 Visualize the data
32:06 Cleaning the data
39:43 Feature engineering
44:16 Feature selection
48:57 Train and evaluate models
01:00:31 The future of data scientists
👋🏻 About Me
Hey there, my name is @daveebbelaar and I work as a freelance data scientist and coach. You've stumbled upon my RUclips channel, where I give away all my secrets when it comes to working with data. I'm not here to sell you any data course - everything you need is right here on RUclips. Making videos is my passion, and I've been doing it for 18 years. I just genuinely enjoy helping people.
While I don't sell any data courses, I do offer a coaching program for data professionals looking to start their own freelance business. If that sounds like you, head over to www.datalumina.io/ to learn more about working with me and kick-starting your freelance career. 
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I never leave comments, I mean why bother. But The progress I have made on my current projects because of the tutorials and content you are consistently posting is adding so much value to my learning experience. Thank you for making this technology accessible to those who look up to you. Cool guy, respect.
Thanks for the kind words Isaac! I am glad my videos are helping 🙏🏻
Well said. I’ve been devouring these tutorials as well. Extremely grateful!
I am only a third of the way in but watned to say how good this video is in terms of explaining everything step by step. Understanding the set up for a project, using vs code, the terminal and creating an environment are often overlooked but are a major source of frustration to beginners like myself. This video has already helped clarify things a tonne.
Looking forward the follow-up video! Good work explaining all the features on this one!
Great video, mate, one of the bests I've watched for a while in this subjetc. Keep it up!
This is a super fantastic video. By far it is the best workflow video I have watched. Extremely detailed and easy to understand.
Man you are doing such a great job! Thank you for these inspiring and motivating tutorials!
Thanks man! 🙏🏻
Excellent video again Dave, thank you very much!!
Thanks! 🙏🏻
These are my favorite kind of videos of yours. Kaggle style start to finish projects peppered with lots of fun AI powered tools. Thank you!
Ps: +1 for zooming a bit more or using a larger font for the next ones ;)
Noted! Will do 😃
This video is amazing thank you very much!
Thank you for the video - a lot of useful tips. The next level will be when GPT-4 will be able to read those data visualizations and give us some insight.
I have learned so much just from watching your channel, specially with videos like this one where you do a project beginning to end. Thank you so much for all the content you have posted!! It really helps!
Thanks for the kind words 🙏🏻
Oh man, I love your videos so much! I'm postponing my plans for tonight to watch this one haha
That is awesome 😂👌🏻
amazing work, changing the way we work
We are entering a new era.
excellent video as usual, Rockstar Dave!
Just a little expert tip: increase the font size in your editor for your future videos, Thanks
Thanks for the tip Rihad, will do!
Will there be a follow-up video on this one? It was super interesting.
Your a boss thank you for your time and videos badass
Dude I literally shit my pants when I saw your vs code juypter thing plug-in, thank you for being awesome and releasing awesome up to date content 💪💪🔥🔥🔥
Thank you so much, you beautiful man!
I love how you pronounce relevant as "relephant"
Interesting! I noticed you use kinda clipboard to paste your text. code (58:53), what is that app?
That's Alfred for macOS (best app ever).
Bro, I want know ,convert dataset into embedding,how to analys with it
Great video! But the code is so little i cant see it. I had to put it in the tv and sit in front of it
I probably missed some vidoes. What does the touch come from in the very beginning?
That is bash-specific command (for macOS and Linux) to create a file using the terminal.
@@daveebbelaar I see. Thanks for your explanation. Can you someday post a video explaining how you create your terminals and etc. I use windows and have no zsh terminal in my vscode, and don't know what is the alternative command for window.😣 (Trying to fill this gap with other videos...)
I'm inclined to visualize this process as photographic film manufacturing.
Why python 3.10 instead of 3.11?
For anyone else having issues activating (and installing the environment packages) - switch from PowerShell to commandprompt next to the "+" sign when you have a terminal up.
For whatever reason I could not activate the environment in PS.
Also make sure to run the python version your environment is bound to. There is a "change kernel" option.