The Future of Data Science! (Snickerdoodle AI/ML Framework)

Check out my website!

Consider supporting me on Patreon:

Tutoring scholarship application form:

Upgrade your coding environment with WayScript!

In this video I just wanted to provide some updates for the channel moving forward. Some of the main updates are that I will be adding channel memberships, offering consulting/tutoring, and working with more sponsors.

Content will stay largely the same. A lot of long data science tutorials and project walkthroughs. I will also start posting more short videos on my second channel, TechTrek.

Check out my second channel:

Let me know if you have any questions about anything discussed in this video.

Join the Python Army to get access to perks!

-------------------------
Follow me on social media!

-------------------------

Practice your Python Pandas data science skills with problems on StrataScratch!

Learn data skills with hands-on exercises & tutorials at Datacamp!

*I use affiliate links on the products that I recommend. I may earn a purchase commission or a referral bonus from the usage of these links.

----------------------------------------------------------------------

Video timeline!
0:00 - Intro
2:34 - Channel Memberships - Join the Python Army!
6:24 - Other ways to support the channel
6:34 - Paid & Free Tutoring Opportunities
8:21 - Sponsored Videos
9:34 - Content on the Channel moving forward

[KeithGalli]

If you want to join the Python Army, click the "JOIN" button right beside the subscribe option! 😊

I'm pumped to find out that I could become a member of my own channel haha xD

[sardai]

Hi Keith, really appreciate what you are doing. Last year your videos helped me out when I started learning about ML and now I got a job in optimization of chemical plants and I didnt forget you. Sometimes I look something up in my "Keith Galli" folder Haha. IMO there are a lot of good tutorials and videos explaining basic ML methods, so there is no need for you to produce even more of them. On the other side, there is a lack of videos where someone does a project where he applies some ML methods but most importantly shows us "how to get things done". For me this is why some of our videos are just gold. Also its completely fine if the video is 3hours long. Some things you just cant learn in a 20 minute video. Thanks again keith :)

[konstantinpluzhnikov]

Contests with prizes like merch could boost an interest. Community likes competitions. It could be in Ken Jee style for activity on channel, or more sophisticated coding ones.

[DanielTobi]

Dedicating your time to teach and nurture folks like us is a huge time dedication.
🖤🖤

[incomputable]

I'm really excited you're back and looking forward to what you can do! Good luck man

[rksinghmp]

Excited for any content you put tbh!! Even ready for any paid courses you’ll bring in the future

[guyblublu]

Hi Keith,
I learned a lot from you, would be cool if you could do projects reviews just go through someone's jupiter notebook, explain what they did and comment your opinion, say how would you do it, and post their notebook afterwards.
It will be a good content, and quite easy for you to make, maybe it will be more suitable for the secound channel.

[breezefor]

nice to see you back man, lets go ! ;)

[mattRRgraham]

I'd love a project walkthrough where you deploy a model on AWS, and you pull some data using SQL if you feel like tackling those at some point :)

The titanic and MNIST type data sets are nice for learning the basics and fundamentals of a given library, or yeah, probably deploying something to AWS, but as someone who has degrees in math and statistics, while my education was pretty thorough on those side of things, my computing knowledge is my biggest weakness and I don't know how to really do any of these tasks that involve unstructured and raw data. I'm hoping to get into the data science/machine learning engineering realm (currently a statistician in biotech where I do lots of R programming) and it seems like that's the norm these days so any content around those topics would be awesome. Glad to see you're doing well. Take care my guy.

[RichardHarrowz]

Any chance you create an online class?
I like the way you teach broo, or maybe guided project for member? I will join right away if you do that.

[fustigate]

I am starting to learn data science and machine learning, and this video has helped me a lot!

[NeonBox-pims]

hahahahah snickerdoodle. Would have clicked faster if it was kit-kat

[chineduezeofor]

I'm really excited and I can't wait to see the quality contents Keith has for us.

[avalowe]

it would be interesting to see how the Manim library can be utilized for data science! glad you're back!

[vinnythekid]

EARLY access to videos can be another line of income even just a few days or a week. Otherwise keep doing your thing man glad to see you back in action, keep going.

[GunHolsters]

Keep up the good work, Keith. You produce great content. After hearing your story, my respect and admiration for you has only increased. Good luck with your plans!

[michaelhaag]

haha, really funny, love that you are back!

[TheBkDani]

I love your real life data science project tutorials.

[davidmur]

Would like to see more videos on Neural Networks since I am about write the master thesis on that))

[mindreendtre]

Colonel/kernel - can't believe you didn't make that joke!