@dk1685
Hi. I am studying this at the moment and your explanation is superb. You include what is relevant and what is useful without unnecessary deviation into obscurities or irrelevancies. Your explanation is perfect, Misra. Thankyou.
@jotsaroopsingh3154
you literally saved me , i have a project on cerrvical cancer prediction ML model and couldn't understand how to implement in code and how things come to be , you answered all the whys . Thank u soo much for this helpful video🤗
@Moiez101
Misra, thank you for this great "code-along". It really helped get a hands-on experience for the concepts that I'm learning.
@horst1991
thank you Misra, you help me with my master thesis :)
@ZzZzZiggy
Wonderfully explained! Quite new to the data science and ML world and it's all so very exciting!
@thebropill4242
How did you fo the code for feature importance i could not see line 21 properly
@Blu3Mj0ln1r
A huge thank you for your effort! I understood it easily and was able to do my assignment!!!
@EB-ch1ih
By far the best explanation, thank you so much!
@babatundeayinla3273
Delivered in a friendly manner. Love it.
@GregThatcher
Thanks!
@MisbahAli-cq6jv
best guide for beginners, keep it up
@franciscoortega104
thanks Misra!! great video <3
@ahmtmhmtbyglu
Tebrikler Mısra Hanım
@ocraking
what an amazing video, thank you!!
@abdulazizmohammedtaib1786
Thanks alot for this valuable tutorial. Can i do the (feature parameter) in other type of models likewise (ANN, Logistic regression,..etc)??
@jakobs4338
Is this actually a clustering algorithm only? How does the algorithm know what we are looking for as a target prediction, Misra? How is it possible that 'target' is a column of the 'data' but not included in the dataframe which again is based on 'data' from sklearn library?
@Sahilsharma-sk5vr
thanks Guruji
@andrewsemenenko8826
Really great explanation, thank you!
@ankushfreefire8910
thank you a lot and ramadan kareem
@xin2668