▶ Watch Entire Numpy Playlist ✅ Subscribe To My TH-cam Channel: bit.ly/3Q7frEH bit.ly/2IGzvOR ▶ See More At: ✅ Join My Facebook Group: Codemy.com bit.ly/2GFmOBz ▶ Learn to Code at Codemy.com ✅ Buy a Codemy T-Shirt! Take $30 off with coupon code: youtube1 bit.ly/2VC9WUN ▶ Get The Code: bit.ly/3mp2qJ3
▶ Watch Entire Numpy Playlist ✅ Subscribe To My TH-cam Channel:
bit.ly/3Q7frEH bit.ly/2IGzvOR
▶ See More At: ✅ Join My Facebook Group:
Codemy.com bit.ly/2GFmOBz
▶ Learn to Code at Codemy.com ✅ Buy a Codemy T-Shirt!
Take $30 off with coupon code: youtube1 bit.ly/2VC9WUN
▶ Get The Code:
bit.ly/3mp2qJ3
this man is the exemple of some1 love his work, look how much he is excited to teach u this, thanks
Appreciate it, thanks!
You are an interesting person. Whenever I need help with python I find your videos. Thank you very much. It's great chance to have people like you.
Thanks, tell your friends ;-)
thank you! can I use flatten() instead of reshape(-1)?
I like this guys intro
Thanks!
Amazing !! Thank you Heisenberg
ha welcome
Hello, let me ask in the Flatten to 1-D section, can I replace np5 = np4.flatten() with np5 = np4.reshape(-1). Is it the same?Thank you
Hi John will you upload whole AI series?
smashing the like button!
Thanks!
great explanation
Thanks! Glad you enjoyed it
why does it show (12,) for first case.. should'nt it be (1,12) ?
1d array will give only 1 value cause it default that one. If it was more than 1 then it would be 2D array
nice explanation
Thanks!
Do you give a certificate in your website?
Yes
Thanks sir
Welcome
Hi John
Do you have git?
Yes, I use the git bash terminal from git-scm.com