Why is this getting so many dislikes? I’ve perused through some of the sections of the video and the person speaking seems to cover everything I was taught in my data science masters degree at one of the top colleges in North America, and they do this with accessible language, and very holistic. Highly recommend.
Thank you for the kind words and the recommendation! People just have to dislike something sometimes, you know? Doesn't bother us-we'll keep creating good content for ya. :)
agreed, even a few years own it's great content that is easy to follow to the point that I pause and go off exploring what ifs making tweaks. It's so much smoother now to develop your own learning with a little co-pilot here and there, e.g., of course co-pilot code prompt suggests .idmax() because we are using pandas, but it's helpfully able to tell me that .argmax() is valid still the one to use if using np array.
After taking several courses in pandas, no body has explained things the way you do I was almost giving up learning python but you just renewed my strength Thank you
Why is this getting so many dislikes? I’ve perused through some of the sections of the video and the person speaking seems to cover everything I was taught in my data science masters degree at one of the top colleges in North America, and they do this with accessible language, and very holistic. Highly recommend.
Thank you for the kind words and the recommendation! People just have to dislike something sometimes, you know? Doesn't bother us-we'll keep creating good content for ya. :)
agreed, even a few years own it's great content that is easy to follow to the point that I pause and go off exploring what ifs making tweaks.
It's so much smoother now to develop your own learning with a little co-pilot here and there, e.g., of course co-pilot code prompt suggests .idmax() because we are using pandas, but it's helpfully able to tell me that .argmax() is valid still the one to use if using np array.
After taking several courses in pandas, no body has explained things the way you do
I was almost giving up learning python but you just renewed my strength
Thank you
Amazing tutorial!! Learning pandas with you is incredibly enjoyable and with valuable takeaways!
Thank you so much for this video! Listened till the end.
Thanks a lot for your course. It was perfectly clear and helped me a lot.
highly recomended tutorial, this tutorial very rich. thank you
Thank you so much for this video, super helpful! Listened till the end and did all the homework.
Thank you. So much useful.
Thank you Sir. Best explanation, more than Courses of Cousera. Thank you and thank you again, You saving my final project presentation.
Wow great tutorial, thank you very much !
please continue uploading videos
Fantastic resource: thank you
You're welcome! Thank you for the thank you.
Thanks a lot. The best tutorial by far.
thank you that's a masterpiece 🙏
Wonderful tutorial ❤️❤️.
Is there a way to get the source code please??
great tutorial. why so many dislikes ?
People were holding their computer upside down.
Cool