Dear Sir, I admire your clear explanation of data science concepts and I am very grateful for your contribution in this field. You are a blessing in disguise. Thank you so much for doing what you do. More power to you.
BTW: I have come across at least a hundred youtube channels on data science coaching in both English and Hindi languages. This is by far the most valuable channel if you really want good use of your time and know key concepts with easy explanations. I wish I had discovered this channel at the beginning of my career.
very easy and simple explanation sir your contribution to teach us is amazing :))..........please keep on making such valuable videos on data science stuffs for us 🙏🙏
zat was interesting presentation, is like fooding....... but pls add part numbers to identify sequence of ur videos easily. which one is z successor video from this?
Great Aman.Please share some more use cases where we can consider False Negative(FN) and False Positive(FP). I would also like to understand Precision and Recall in your terms with an examples
Please check in playlist section, but anyway let me share ruclips.net/video/vpjYsVKj_Y0/видео.html&pp=ygUidW5mb2xkIGRhdGEgc2NlaW5jZSBjbGFzc2lmaWNhdGlvbg%3D%3D
Bhaiya, make a video on how logistic regression actually works in fake news detection algorithm.. in my last interview i said the whole procedure..still he wanted me to explain "suppose i m ur grandparent, now tell me how u have detected a news is fake or real ?" Pls help 🙏🙏🙏🙏
create a layman story in simple words. I can explain more in live class, register for free: www.lighthall.co/class/6fdae050-85a4-48c4-9ecc-8dd2fa6ff175
Dear Sir, I admire your clear explanation of data science concepts and I am very grateful for your contribution in this field. You are a blessing in disguise. Thank you so much for doing what you do. More power to you.
BTW: I have come across at least a hundred youtube channels on data science coaching in both English and Hindi languages. This is by far the most valuable channel if you really want good use of your time and know key concepts with easy explanations. I wish I had discovered this channel at the beginning of my career.
Thanks Milind, can not express how much your comments motivate me to keep going.
very easy and simple explanation sir your contribution to teach us is amazing :))..........please keep on making such valuable videos on data science stuffs for us 🙏🙏
Useful information regarding models of classification and classifier... Keep it up
Thank you .
Thanks for covering each important topic in your videos. Keep up the good work!
Thank you.
Thanks for let us know the concept in detail manner. Thanks for your time on this video Aman!
Welcome Ramesh.
Thank you Aman. This cleared some of my doubts in simple manner.
Glad to hear that Harisha. Happy Learning!
Superb video!
Thank you.
Anyone going through these videos shall have their concept crystal clear. Thanks, Aman.
Thanks Abhishek.
wonderful so simple to understand
I paid for a course and I think they are nowhere when i compare them with u
thanks sir for your content
Thanks Vishal.
Wonderful explanation,,,Thank you so much!!
This is pure gold.
zat was interesting presentation, is like fooding....... but pls add part numbers to identify sequence of ur videos easily. which one is z successor video from this?
Thank you Aman, useful learning video.
So nice of you Akash
very helpful ....worth to watch ....
Glad you think so Preet.
Great Aman.Please share some more use cases where we can consider False Negative(FN) and False Positive(FP).
I would also like to understand Precision and Recall in your terms with an examples
Hi Anjani. Thanks for your feedback. I will try to create a video on the same. Happy learning.tc
Very Clear explained ✌🏻👏🏻👏🏻
Thank you sneha.
Nice presentation 👍👍👍
Thank you.
Good job..keep it up
Thanks a lot.
Thank you sir!
Please arrange all the video regarding machine learning it will be to follow
ruclips.net/video/lDtzKosz_LQ/видео.html
great explnation
Thanks Saurav for motivating through comment.
good evening bro. Can you explain how to select threshold value for prediction in logistic regression
sir your explanation is amazing. Would love to see the python codes video.
All my codes here:
drive.google.com/drive/folders/1XdPbyAc9iWml0fPPNX91Yq3BRwkZAG2M
My python playlist here:
ruclips.net/video/NTZkMI5tuh8/видео.html
@@UnfoldDataScience Thankyou so much sir
@@UnfoldDataScience Thanks a lot sir .....this is amazing and of great help.
sir where I can find implementation of roc and AUC curve
You want the code to plot it? Google it, you will find easily.
Hey, thanks for the video. I cant see the link for the next video please - logistic regression in Python
Please check in playlist section, but anyway let me share
ruclips.net/video/vpjYsVKj_Y0/видео.html&pp=ygUidW5mb2xkIGRhdGEgc2NlaW5jZSBjbGFzc2lmaWNhdGlvbg%3D%3D
Great Content!!! If possible, can you please discuss about Calibration of Classification Models?
Sure Sanjeev. Thank you.
F1 scores what is it ? How and when to use it ?
Harmonic mean of precision and recall, to be used in classification use case as one of the performance metric.
How to find optimal threshold
Hi Shruti, We need to figure out optimal threshold by balancing False Negatives and False positives based on business ask.
Bhaiya, make a video on how logistic regression actually works in fake news detection algorithm.. in my last interview i said the whole procedure..still he wanted me to explain "suppose i m ur grandparent, now tell me how u have detected a news is fake or real ?" Pls help 🙏🙏🙏🙏
Using logistics regression
create a layman story in simple words. I can explain more in live class, register for free:
www.lighthall.co/class/6fdae050-85a4-48c4-9ecc-8dd2fa6ff175