I would like to add one more challenge for Machine Learning which is 'Technical Debt'. It is a famous term that coins negative environmental issues due to Machine Learning, model training, and so on. Tons of people and organizations are training the ML model by processing days and nights this can negatively affect the environment which is proven in a research paper called 'Technical Debt'. Other than that, I have watched your many videos and They all are super amazing. I found it very helpful even after graduating from the Artificial Intelligence program.
Im learning from Ineuron ,de taught well and learnt the basic from dem but after seeing ur video which aint dat lengthy nd to d point, its helping me to retain some of the concept that I forgot over a period of time..Tnx for dis playlist..Im watching it straight nd will try to finish it within 4-5 days..After dat will start watching ur DeepLearning playlist
In the comment I can see many of you want a Note for these lectures so, for the notes follow this book Hands On Machine Learning with Scikit Learn and TensorFlow By O'Reilly
12:29 off topic but location does play a role in fittness , there is a reason why europens inheriting viking gene are fitter or arab from desert are fitter or people from harayana are fitter, Harsh climate work condition = fitter people
You can't get data Directly that You need that's why sir said Data is limited . I know In the internet Data present in Massive ammount as sir Discussed 1st points Data collection that is Quite Difficult For Data Collection You need More Cost because Everytime you don't get data freely ( You need API and Webscraping ) some Internet website or Tools are Premium for getting or scrapping the data Don't Focus on My English ( I'm little Weak in Language)
It's very difficult to wait for 100 days, this videos are so addictive that should be 100 hours of ML.
I would like to add one more challenge for Machine Learning which is 'Technical Debt'. It is a famous term that coins negative environmental issues due to Machine Learning, model training, and so on. Tons of people and organizations are training the ML model by processing days and nights this can negatively affect the environment which is proven in a research paper called 'Technical Debt'.
Other than that, I have watched your many videos and They all are super amazing. I found it very helpful even after graduating from the Artificial Intelligence program.
Can you explain what could be the issue if I train continuosly for 5-6 months non stop like u said?😅😅
@@saiprem5380 carbon footprint increase
Sir, You are Legend on ML.
I'm learning ML on best way from you.
& that Koili 🐦 sound are too peaceful ☺✨ 😍😍😊.
How are you doing now? Were you satisfied with the course?
this channel is hell underrated.
No other course can beat you in knowledge and explaination.
Sir, u r the best 🌟🌟 .. I just wanted to thank u so much for everything you have done for all of us..💝✨
Bhai God Level hai lectures
revising my concepts now. Thank you
ap jaisay teacher bohot hi kaam hotay hain .bohot hi acha samja tay ho
Sir....
Pehele kyon nahi mile aap....
Ab jake kuch sahi me padh raha hun sir, our chijen dhyan me aa rahi hain.....🤘
Thank you so much...😌🙏
sir you are very honest in your teaching, thank you a lot for providing this very useful video playlist for free.
Im learning from Ineuron ,de taught well and learnt the basic from dem but after seeing ur video which aint dat lengthy nd to d point, its helping me to retain some of the concept that I forgot over a period of time..Tnx for dis playlist..Im watching it straight nd will try to finish it within 4-5 days..After dat will start watching ur DeepLearning playlist
Same here.
+1
great video,great knowledge and obviously a great teacher
I am very excited watch this vedio in 2024 , thanks sir 100000000000 time , i request ki or vi bahut sari vedio ap bano or kuch project se releted vi
Whenever I come to your channel I always learn something NEW
Honestly You explain very well.
Sir also upload video on how to create dataset. What precautions we should take while creating it.
Learning in 2024...
Same bhaii❤❤
Mee too bro!!
@@krishanubanerjee5806same bhai 🫂
same
Me too after realizing the value 😢
bro you are seriously the most underrated youtuber
you are gem dude.
Thank you so much sir
i thought krish naik and campus x are same guy🤣
Why?
But both are doing very good things for us. Because there are many online courses they are just looting by name of AI and Data Science
muze bhi lagatha, dono bhi mast sikhate hai
Programming GOD , simply underrated genius.
Course Started : ML
Lecture-01: 14/08/2024
Lecture-02: 14/08/2024
Lecture-03: 14/08/2024
Lecture-04: 14/08/2024
Lecture-05: 14/08/2024
Lecture-06: 15/08/2024
Lecture-07: 15/08/2024
In the comment I can see many of you want a Note for these lectures so, for the notes follow this book
Hands On Machine Learning with Scikit Learn and TensorFlow By O'Reilly
this channel is such a goldmine
A Great Teacher
Will u cover deployement a model and buidling end to end project ?
Yes.
12:29 off topic but location does play a role in fittness , there is a reason why europens inheriting viking gene are fitter or arab from desert are fitter or people from harayana are fitter, Harsh climate work condition = fitter people
Explained very nicely
Amazing sir
day 7 done !!
10 july 2024
8:03 PM
Thanks Sir
Gautam Gambhir jaisa admi hoga tw....data representetive hona hi he
Amazing Explanation.
Thanks so much,
This is so helpful
Can You please upload the link of the notes. Thank a lot for such a helpful playlist.
@CampusX can you please share the notes of the 100 days ML course,
nicely explained
Can you please share the slides for every video? it would be best.
Thanks.
How can I get access to your notes..? May be one note which you are using fro explaining 🙂
Can you suggest some research topic in details from machine learning
master blaster ,,,
day1:date:9/1/2024
Dear sir kindly share the article link you were talking about cost of AI
awesome
can you please share the one-note link sir for our reference?
finished watching
Hi @Sandipan ,How are you making Notes!!!
Sir I think you followed "Hands on Machine learning"
Sir how to get notes...
@22:04
Day 7 - 27/04/24
love from Pakistan bro
NOTES PLEASE Sir!
#day1
Sie please share the notes of the all videos 😊😊😊😊
but sir you said, ' data is endless there is lot of data in the world ' and now you are saying limited data. Please explain this
You can't get data Directly that You need that's why sir said Data is limited . I know In the internet Data present in Massive ammount as sir Discussed 1st points Data collection that is Quite Difficult For Data Collection You need More Cost because Everytime you don't get data freely ( You need API and Webscraping ) some Internet website or Tools are Premium for getting or scrapping the data
Don't Focus on My English ( I'm little Weak in Language)
Sir please make a playlist on web scraping..!
Sir notes please
Can you provide notes of all class
sir upload next videos
Can you take in English
GG
6:00
11:40
Day 7; 19.04.2023
Bro are you making notes ?
yes
@@ashitoshmalwade7066
Over fitting: Ladies think all boys are same
Your example of overfitring isnt good,
Thats the example of bias, you are biased towards gurgaon city
who''s watching this video after T20 won ?🤭
Sir, You are Legend on ML.
I'm learning ML on best way from you.
& that Koili 🐦 sound are too peaceful ☺✨ 😍😍😊.
Can you take in English