@krishnaik06

Check out the entire materials,roadmap ,handwritten notes and cheatsheet of the entire data science 
https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials/tree/main

@alirezavalizadeh4598

Helpful
Thanks
It could be more helpful if "Data Engineering" was added.

@uttamprasad3782

Well explained. Thanks

@kornelies

Thanks for your valuable sessions like this...and where feature engineering and NLP will come into the picture..

@AshokKumar-wb1yq

WOW..Good explanation

@sundarrajan846

Sir
I am a senior citizen aged 62 yrs.When youngsters talk of Machine Learning,Deep learning,etc..I used wonder what these are about.My curiosity was increasing.Today through your excellent lecture in simple words you have given my good understanding .Thanks a lot I would like to gain more knowledge on this topic.
God Bless you.

@avinashsharma6286

Simply nice👍👍👍👍👍

@krishnaik06

Please do subscribe my vlogging channel for motivational videos
https://www.youtube.com/channel/UCjWY5hREA6FFYrthD0rZNIw

@vimukthimahakumbura1284

Thank you Krish.

@smitalpatil51

Also tell us about from where to start learning these things and where to finish proper way

@manu-singh

Thanks for this video sir , i can't believe i didn't totally understood these terms before starting learning data science from your playlists. Thanks🙏🙏🙏

@himanshuverma158

Superb explanation sir....!

@phanikiran8689

Thanks for your tutorial  with clear  explanation on basic differences of these terminologies

@amitgp2007

ML is not just to explore the data.. Here sir has said about ,  inferencing which is done by statistical methods. Prediction is the goal of ML using blend of these already existing statical methods.
This is very difference between statistical methods and machine learning..

Moving to next level to this we can say that goal of ml is to derive an analytical models using data. And it's experience is getting increased when we feed more data, we said it's learning.

@DebasmitSamal294

Excellent....

@ashshettyvlogs3220

veyr good explaination....can you create content with how these techniques have been used in the real world or where you could apply it? a use case scenario would be very helpful.

@adams2736

Thank you, worth to subscribe.

@LK-uc9kh

It's a great video and it's crystal clear!!!

@kanakamsushma8749

very nice explanation sir,quite straight forward .Thank u sir i have cleared my doubts through this .
keep more about Data science topics sir.

@hemantpunmgr

Thank you 👍