I will also be creating a video soon where we will set up our github structure from scratch. Till then to create the structure using code follow this playlist mlops playlist: ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-1BSwYlJUxK0.html
Thanks Krish. Similarly we need one more video for data science project structure arrangement in real time project. I mean separating different components and calling everything in main.py.
Thanks Krish for putting up such videos. This will really help me a lot to structure my GitHub account. Kindly make a video on how to make Linkedin account better to attract the recruiters.
***VERY INSPIRING**** Your content is superb sir.... Always use to watch 😍😍.... QUERY- Sir why the salary of fresher in Data Science domain ( ML ENGINEER, DATA SCIENTIST) is very low as compare to fresher- SDE. PLZ Give ur valuable vision on my query 😔.... Keep it Up sir, Awesome Content ❤️❤️❤️❤️❤️❤️❤️❤️❤️❤️
Amazing video!! This is ultimate structure for a data science project. But I cannot find much about HLD and LLD documents, especially with respect to data science. Please share this in future or provide some resources to understand this. It would be really helpful. Thanks for your extensive efforts.
Hi Krish...wanted to know about great learning program of AI ML ,is it good to Persue....I want to switch my profile from .net developer to data science...what you suggest about the career path..? It's a 1 year course...and a big commitment also of 1 year...am already working in a company...
Sir m'i able to do internship with your company. I'm looking for internship in web development using python it will be great if you give an opportunity. Please reply sir
Bhai mujhe internship me experience chahiye abi course complete krke ek certificate aya hai Nasscom ka ab aage grow krne ke liye koi internship dilwaye pllzz....
No .. Didn't... I have left it now..... Although i was quite good in python and related things and have completed a course by spending lots of money but .... I was in need of money that's why i had to leave.