This KZread channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together
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I don't usually comment on KZread but man you force this one on me thank thank you so very much after spending countless hours. Stay blessed.
hey- ryan- thanks for all these python in - x- minutes. I wonder if you can put it on a separate playlist so i can follow through. I haven't gone through any of them yet, but I strongly believe your videos will be powerful building blocks for beginners' python programming
Thank you so much!!! it helps me a lot with learning Python! Thank you so much again
Very nice explanation buddy
Your explaining has serenity
👏👏👏👏❤❤❤❤
Hey, something i noticed. You copy the column names back into your X_train after scaling. Is it not easier to do "X_train = pd.DataFrame(ss.fit_transform(X_train), columns=X_train.columns)"
Please do an advanced on loops with questions!
prob not for a bit, sorry
Can I get the source code?
It’ll be posted to my website in the future
I watched your groupby video before this & was able to solve this question by myself. You're the best, man!
Awesome! Glad it helped
Hi ryan! Your videos are really useful and you make every concept much simpler. Thank you so much!
No problem
Well explained!! Thank you
No problem
Thanks man, it help me a lot
Glad it helped
best tutorial come across ...love from india
Appreciate it
I have sent you connection request in linkedin. Can you accept me buddy?
Sure
Resend it and say you watch the YT vids and I’ll add
Very informative and useful.
Thanks
I like instruction videos where the person explaining the process already has the mundane stuff, like 'import pandas as pd' and 'pd.read_csv()', typed into the software. Life is short, don't waste other people's time needlessly.
And the problem is some people watching the video don’t know how to do this or still are learning. Feel free to skip over these parts
If you are looking for help on a data project reach out to me over email or the contact form on my website. Article based on the video is out (will be expanding it in the future): ryannolandata.com/ordinal-encoder/
thank you so much fro this Ryan!
Np, I put the series on the backlog though. Going back to AI/ML vids
thank you so much for this, much helpful, humble request - please continue the series "Setup DBT Cloud for Beginners (FREE)" thanks in advance
I know I need to, but I have to get back to AI/ML for a bit
Looking for the code? I just published an article based on this video. Check it out here: ryannolandata.com/python-match-case-statement/
Can you give me a scikit-learn roadmap?Please.Or the main subjects to learn to be able to do anything with that library.
Start with the Scikit-learn videos in this playlist: kzread.info/head/PLcQVY5V2UY4LMGw458W6-59VJ409BQQcw
Thanks a lot! Small question, what should I do if I want to have a stratified splitting with the same database?
Great video! Thanks!
No problem
Looking for the code? I just uploaded an article based on this video: ryannolandata.com/chat-with-a-csv-using-langchain/ Also, I'm taking on Data and AI projects. Have something for me to work on? Fill out the contact form on my site or email me.
Looking for the code? I just published an article based on the video: ryannolandata.com/langchain-agents/ Also I'm taking on AI projects. Hit me up [email protected]
GitHub¿
How do I take the file name from the user prompt and then ask questions on it?
why we didnt use sql after typeies are changed
Hi Ryan, I'd like to understand how you would have treated a file with millions or tens of millions of lines to spot those "*" and "-" and "+"? You spoted them here manually by eye. Anyone can help me figureout that? Thanks
Excellent video. So much in it, thought process, code tips etc.
Thank you
Great video thanks. Is it possible to use regular expressions in a query?
please go lil slow hard to understand
I'll have an article on this soon you can also check out
@@RyanNolanData thank you
Obrigado pela ideia Ryan
Numpy
numpy is on the backlog promise itll be on the channel in the next few months
More videos please
2/3 every week! Working on a beginner python series atm, then back to more ML and AI
Great content great content ryan
ty
keep the videos coming😍 and more complete projects please like the ones you have done
2/3 vids every week!
Hello brilliant video and brilliant channel. I am unable to see the mock data int the comment section. Can you kindly guide me what am I doing wrong and if you haven't put the data in the comment section, can you put it here please
Ill have an article soon on my website
Article based on the video is out (will be expanding it in the future): ryannolandata.com/ordinal-encoder/
Where is the link of the csv
The * in Highest_Inns_Score means the player was not out in that inning.
Hello. Can you make a video on python modulo operation on negative numbers please.. That topic is very confusing. For example , -5%4 is 3..it doesn't seem to make a sense. Can you help please..
I mean it when i say, you are so so so good
Hey Ryan, could u make videos on clustering algorithms with scikit learn... Please
Should have some on the channel
TypeError: Completions.create() got an unexpected keyword argument 'functions' I am getting this error while runnning agent_executor.invoke({"input":"who won the 2024 world series"}). Can you please help me resolve this?
Mistakes always help me learn because it forces me to recall new/old knowledge. Depending on how common the mistake was (>3) I end up retaining it and auto check, rarely do I see that mistake again.
cant wait for the followup video! thanks for this and in advance!
👏👏👏❤❤
Is it possible (easy) to implement drag-and-drop for user to choose files in Python? For example csv files that are then processed. Nice vidoeo! I like your educative style, keep going.
Yes I just did a data science project on the channel covering it. Look up the streamlit video
great!!!
Thanks