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Thank You So much

wow, I got a good intuition of recall and precision. not gonna lie, still feeling a bit lost about roc

Cisco just laid off 10,000 people!!!

Thank you So much🙏

Good Video

sir please reply i am also preparing for data science , did age matter in this fiedl , i am m22 graduate from india .

Just wow 🔥

Another Banger! While making a project on stock predictions I needed to calculate the probability of the prediction for a single row and that's when I fully understood Sigmoid. It makes so much of sense and seeing this explanation, it makes all the more sense. Thanks for the video.

This is exactly the kind of teaching style i like. going through the explanation first taking the hard stuff away to understand how things work in the first place. Subscribed!

Thank you So much🙏😊

just keep posting.

HI Sir, nice vlog from you, recently I tried for Data science interviews where interviwers are askig for gen-ai skills, a kind of confusion created by companies between gen-ai profile & data science,pls clarify.

Any idea about Mtech Data science in BITS PILANI

Very good advice Anwar. Thanks for bringing it limelight on your expertise and experiences in one frame.

Sir I am from Odisha India I am learning data science for the role of a data scientist , as you told in your videos I am focused on the core skills building communication skills statistical knowledge mathematical knowledge and the coding ability rather than just knowing the fancy stuffs, I am very glad to listen that these are also the important points according to an experienced professional in the industry. Please sir keep posting new videos they are very helpful.

Is DSA is required?

Sir is knowledge of Data Structures and Algorithms are necessary to become a ML engineer?

I am 2004 BE(IT) passout, I have experience of core software development for the last 20 years in java. In 2021 I started to learn data science. I initially started my journey with Machine Learning,then done deep learning. Now in order to learn ML, you need to be very strong in Linear Algebra (metrices and vectors), probability. Then, you need to learn basic level stats. Then you need to spend lot of time to analyse various datasets, apply various data cleanup, prepare many plots to bring insight about the data. Then prepare ML/DL models and do hyper parameter tuning, then do modular coding in python then do MLOPS, and cloud management. This took to 3 years. Believe me, the journey is very very very difficult.

An insightful message , request you to also come up with a road map on AI ML

As far as my experience is concerned if your base is strong , the advance tech is easy to upskill . So as per my suggestion i would suggest to spend as much time on basics .

Ok so as a stammerer data science is not for me

Thank you so much sir ❤

Great Explanation sir ❤

Thank You Sir, for this great information, you are doing a commendable job by sharing your experience Sir im in a doubt whether i should learn SDE or DS?

Insightful ❤

Thank you sir

Great share... by Sr. Data Scientist

Right 👍

Hello sir ,, what about those who having 8 years gaps with non tech and want to achieve high paying less stress jobs in less time plz help it nin yours field data

A lot of the labels like "entry-level" are just data entry flubs. LinkedIn sticks in defaults if the originating company doesn't specify the job level. So some jobs are labeled "entry level" that are really more senior

Excellent content

I am working as software tester with 2.6 years of experience i am having less than 4 lpa. What should I do to get better growth and opportunities between datascience and full stack development. Please give me advice.

Thanks for the video sir 👍🏻

HI, I am planning to get in ML and AI . I have been working for over a decade in IT support service. It will be greately helpful if you can guide me on this.

Yup. Subscribed. Thank you for the kind advice. May god bless you and us with abundance of knowledge and kindness 💖

Great info Sir I’m trying to prepare for it but I have confused what to learn Gen AI or ML now I have clarity

Thank you so much !! Really like your content

I think practical stats book has to be read first and then all steps in order. Otherwise it would be hard to understand Jose's python course though he has taught concepts in short.

Yes , u are 100 percent right. In my campus interview , I had fortune to land interviews in data science. I was good at algorithm but bad at coding , so I couldn't land a job and hence I am working in hard core mechanical company but I happy

You have a very good knowledge

Very informative and it clears all the misconceptions

Thank you so much

I feel the last part of this video :)

sir try to make videos in 8 minute range as it will have more clicks

Another excellent video. I used to tell techies who worked for me that I had BUSINESS problems to solve, and if I could find some trained cockroaches to do the task better than programmers, then the coders would be GONE. The technology is usually irrelevant.

You are very good human being

Your usual top quality! You need more subs!

Please don't show BS BLS statistics. This makes you look desperate to make your point. No one in their right mind would rely on government statistics. The same government that recently removed almost 900K jobs from their employment stats over the last 1 year.

Thanks for the motivation sir ❤

Great and valuable share as always....