Summary: 1. Define the business problem 2. Talk about Data 3. Solution Approach 4. How did you deliver business value? 5. How did you use this model in production?
Aman sir your efforts are great and I was expecting something likke this explaination. Keep it up bro.. and I have subscribed you channel.. will shared with people also .
Hi Aman, can u create the video on Data Science Life cycle and technologies used from start to end like to deploy CICD github, AWS like, docker, Pyspark other than only ML part
Thanks Aman. Can you pls make vdo abt recommendations on white papers, research material that can be referred on internet say for area like deep learning or NER. Specially for self learners.
Bussiness problem, talk about your data ( missing value, if it was in csv file, feature , data collection ) solution approach:patterns , not common , feature engineering ) 4) how did u deliver the value to the bussiness ,how many new subscribe u gained ) 5) mlops flask how many records? Why logistic not random forest
Just what I was looking for, very insightful and highly detailed... I learned a lot, you earned my subscription..... You got any videos on model deployment? Would be happy to watch your videos on those
Really useful information, Aman! I have a query in one of the point that you have explained , can you please clarify i.e business value interms of ($) value or (%) what metrics we have to consider in the model to know the business value. Please let me know any video you have covered in your channel so that i can go through
@@UnfoldDataScience Thank you, Aman! for quick reply I asked youtubers about the same topic no one explained. and i also searched in youtube but i didn't find accurate results who ever is explaining about ML/DL topics on their youtube channels ( I mean major channels) they are covering only following topics 1. Business problem 2. Data source 3. Data Management 4. Train Test split 5. Model build 6. Validation but not covered about how model impacts the business there is a scope to get more views on this topic.
This series helps a lot. Could you also make a video on how to prepare for the first wound? Is it the python related programs are asked>? or Problems where one has to create a model ? need guidance on this...
Hi, thank you for the useful information! I am a recent graduate with a master degree in Actuarial science. So I actually have not done very impactful data science project like the ones in the real world. However I have done several kaggle projects. I wonder what should I focus on telling when telling about kaggle porjects. I am confused if they have any real impact or not. Thank you!
I have cleaned a dataset and modelled a dataset from kaggle, can these be my projects sir? Also are they good enough? :( And how to display them on resume ?
Summary:
1. Define the business problem
2. Talk about Data
3. Solution Approach
4. How did you deliver business value?
5. How did you use this model in production?
You are the best and most genuine guy for data science I found on RUclips. Keep doing good work
After watching dozens of lengthy useless videos this was the best video present in RUclips...this was so helpfulll......
great
This is one of the best approach for describing the project I have ever seen. Thanks a ton!
Good Explanation
Amazing Explaination
Very informative video you made. If I got this video few weeks ago, i had cleared the interview for some companies.
Glad it was helpful!
Best explanation i found in youtube…..
Thanks Animesh.
No one teach from practical way. But u r explaining with real time example. Great sir. keep posting statistics concepts with different use cases
Thanks Nithya. Will do
Very informative insights
Thanks Prateek.
Great Video Aman sir .
Thanks alot Vivek. Continue learning and watching.
Sir you really explained it in easy words ...thank u so much
Video is very helpful. Thank you 🙏
Welcome Pradeep. Hope you are doing good
really useful.
Thanks Soma
Nice Sir,
Thanks a lot
Thanks for feedback
Great ..!! Sir please do a detailed video on maths behind logistic regression and how does regularization happens in it. As it is very confusing
ruclips.net/video/8PFt4Jin7B0/видео.html
ruclips.net/video/7XvBwQeT9OI/видео.html
Can you please make a video on project explanation by taking some project example please?
great content ! thank you
Glad you liked it!
Thanks a lot. Very much needed. Can you provide video for end to end project implementation in NLP that includes all 5 points you have explained.
Thanks Sainath, sure.
Very helpful
Glad you felt so! Please share with others as well Ankita 🙂 so that more people can benefit from it.
Aman sir your efforts are great and I was expecting something likke this explaination. Keep it up bro.. and I have subscribed you channel.. will shared with people also .
Thanks a lot. It means a lot.
This is definitely going to help me a lot in my interview!
Thank you, Sir 😊
Best of luck!
Helpful❤️
Aman sir please let me know when you are free for conducting mock interview... I am eagerly waiting for the opportunity !!!
Hi Aman, can u create the video on Data Science Life cycle and technologies used from start to end like to deploy CICD github, AWS like, docker, Pyspark other than only ML part
Thanks Aman. Can you pls make vdo abt recommendations on white papers, research material that can be referred on internet say for area like deep learning or NER. Specially for self learners.
Let me see on that Sarika.
Bussiness problem, talk about your data ( missing value, if it was in csv file, feature , data collection ) solution approach:patterns , not common , feature engineering ) 4) how did u deliver the value to the bussiness ,how many new subscribe u gained ) 5) mlops flask how many records? Why logistic not random forest
Aman ! please make tutorial on either "complete course on DS" or on "ML"
Just what I was looking for, very insightful and highly detailed... I learned a lot, you earned my subscription..... You got any videos on model deployment? Would be happy to watch your videos on those
Yes, search with "Unfold data science model deployment"
Thank you, let me search now😀
finished watching
Thanks for watching
@@UnfoldDataScience It seems you keep a good track of all the people watching your videos.Great.
Hey this is really useful information..
Thanks Amit.
Hey plzz make a vedio on how to importing data
Really useful information, Aman!
I have a query in one of the point that you have explained , can you please clarify
i.e business value interms of ($) value or (%)
what metrics we have to consider in the model to know the business value.
Please let me know any video you have covered in your channel so that i can go through
Thanks for asking vijay, I ll put a video on this topic.
@@UnfoldDataScience Thank you, Aman! for quick reply
I asked youtubers about the same topic no one explained.
and i also searched in youtube but i didn't find accurate results
who ever is explaining about ML/DL topics on their youtube channels ( I mean major channels)
they are covering only following topics
1. Business problem
2. Data source
3. Data Management
4. Train Test split
5. Model build
6. Validation
but not covered about how model impacts the business
there is a scope to get more views on this topic.
I have also same doubt
Kindly please make some complete model deployment on any of the cloud(aws or gcp)
.
Will do Avinash.
Pls suggest me some topics for my dissertation project in machine learning
Thank you very much for an amazing insights about the interview process.
Glad you enjoyed it! pls sahre with friends as well
This series helps a lot. Could you also make a video on how to prepare for the first wound? Is it the python related programs are asked>? or Problems where one has to create a model ? need guidance on this...
Two things can happen, either a python coding test to filter candidate or some small use case to chet the approach.
@@UnfoldDataScience ok...thanks for the quick response
Sir.. PCA or EDA please do a video sir
Sure Ganesh.
Hi, thank you for the useful information! I am a recent graduate with a master degree in Actuarial science. So I actually have not done very impactful data science project like the ones in the real world. However I have done several kaggle projects. I wonder what should I focus on telling when telling about kaggle porjects. I am confused if they have any real impact or not. Thank you!
You can prepare story
It's same as Data Analyst project too. Can I explain the data analyst project instead of data science project
YEs you can, focus more on business aspects of it.
I have cleaned a dataset and modelled a dataset from kaggle, can these be my projects sir? Also are they good enough? :(
And how to display them on resume ?
It can be, make it industry standerd
@@UnfoldDataScience how to make it industry standard sir?
Hello sir can you please help ? Im gonna do btech from specialisation
Its ai and ml or ai or ds !! which one should i choose
Evaluate on different parameters.
Sir if possible can u share sample resume
Ping me on LinkedIn
Is it applicable for MLE job role as well??
MLE need to put little focus on technical details / automation/ effort saved.
NLP project?
ruclips.net/video/cs049uQWbpg/видео.html