YouTube Subscriber Count Prediction - Data Every Day

[@sunilsharanappa7721]

I couldn't stop my self subscribing to this awesome channel. Please keep adding more content to Data everyday playlist. Thanks again for awesome content.

[@arthurrey3494]

I am excited to see what the future holds for your channel. You deserve all the subs you're getting and more!

[@houdasalhi315]

i agree

[@jamespaladin607]

Thanks for your presentations.. Can't say I am an expert but I appreciate all I have learned about using pandas from your videos. Look forward to your future posts

[@niksvp93]

Your content was fun and very informative for many of us. I have personally learned so much as a beginner and I can say that you have strengthened my foundation for someone who has just started out in Data Science. I am very grateful to you for this! :) We really look forward to your content in the near future.

[@Pf.Basset]

thank you so much men you deserve the best views keep going i think when you share info to otheres i think come from person have big heart you will success... . i realy love your toutorials see you agian

[@shivamtyagi677]

Looking forward to data every week. I Will miss data every day.

[@beautifulmonster97]

I will miss data everyday :( . Thank you for posting everyday. I have learn a lot thanks to u

[@thangld45]

Thanhks you very much. See you again!!!

[@AkaExcel]

Gabriel did you check feature importance here, like which feature is most important for youtube channel?

[@gcdatkin]

Haha, I didn't, but that's a good idea! :)

[@AkaExcel]

@@gcdatkin Cracking KZbin Algorithm! :)

[@AkaExcel]

@@gcdatkin i tried to do this, but one thing i can't understand, different models giving different feature importance, do not know which one to believe... Ideas? :)

[@gcdatkin]

@@AkaExcel Great question. Different models work in different ways, and some will be able to utilize certain features more than others. When in doubt, train a whole bunch and take the average!

[@AkaExcel]

@@gcdatkin Thank You for you Answer!

[@satyamtripathi1732]

brother its been 2 days where r u please upload ur video i am waiting for u

[@gcdatkin]

Hahaha, I'll have one out soon! What kind of video are you most looking forward to?

[@satyamtripathi1732]

@@gcdatkin anything.......btw i am doing an datascience course so your all videos are very helpful now i am implementing projects from kaggle by my own just bcoz of you whenever i want to learn anything i just open ur channel and started watching your video .......i was searching previously for data science projects video where i can learn and i was very lucky at that day when your channel video comes in my recommendation......u r an inspiration for me really.

[@gcdatkin]

That means a lot. Thanks! I'll be sure to keep making videos :)

[@chinonsoodiaka1492]

So guys, I am just now starting this tutorial video, and I just curious to know if he accurately predicted the number of likes that this video will get. Did he make it like in the first one month or sth? I can see 32 likes and the date is 17/08/2022

[@abc-co7fy]

I miss u Gab.😓 Are you okay? Is everything safe?

[@gcdatkin]

Hahaha I'm fine! I'll have another video out soon, I'm just taking a short break while I plan for the channel. What kind of videos are you most interested in seeing?

[@abc-co7fy]

@@gcdatkin ​ Great to you hear you are doing well Gab.🤗. I am very happy with your daily uploads and wish to see you continue the same. 🥰. Thank you for asking that question. As I am barely learning to hold the pencil when it comes to learning Machine learning and python, I am not sure whether my requests are valid or if it is feasible. 😆 (This are common comments I heard from many of my friends as well) 1. Can you advise/make videos on how to select appropriate the library and associated object functions for a certain kaggle dataset. I have a hard time looking up the web, navigating through Github and Stack Overflow, reading through lengthy articles and at the end, most of the commands/solutions turn out to be unsuitable for my work.😤. . . . . but I am not sure whether it is like an unspoken truth in ML community because of my non-CS/non-math background 2. Can you make few videos on the basic math concepts in ML and turn it into python corresponding codes (e.g., Implementation of Regression, PCA, SVD etc.). You can teach with the basic wiki and python IDE (no need for whiteboard or so). Thanks for advice and all u are doing. Go Gab Go. . .😍

[@dogus8662]

aaa i was very sorry :(