How Should You Explain Your Data Science Projects To Recruiters?- Must Watch For Everyone
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- Опубликовано: 26 июн 2024
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In short, talk about your project using the same steps you followed when doing your project:
1. a problem you're trying to solve
2. data collection (source, frequency, storage, etc)
3. feature engineering and feature selection
4. model selection
5. deployment 😊
It's good to see your videos, Krish. They help give a sense of normalcy during this crisis. Some of the stories we see now about India are heartbreaking. I wish you and your viewers all the best. ♥️
While explaining do we have to explain the code also?Or should we explain in the form of story telling
@@sherin7444 no one has the time to check your code. You have to just explain it in like 5-7 mins. And then the interviewer will check how good you are with the knowledge of domain
I love the quote "IN THE END WE ONLY REGRET THE CHANCES WE DON'T TAKE".
me too, says it all
True hardwork u do.... N topics u cater r really awesome to d ground level... Ur playlist is no less than a coursera or udemy
Thanks Krish, this will surely help freshers as well as those who wants to make transition to Data Science field.
Sir, I have gone through lots of other channels, but never got satisfied. I am a huge fan of yours, because of the way you explained each and everything logically.
Thank you so much! Your videos are great. Keep them coming.
Congrats, I follow you with interest, and I believe, unless you dont want to learn, otherwise, everything is so clear!
Thanks for sharing such a nice video. It is really helpful. Your content in the videos is always crisp loaded with real life practical experiences... Appreciate it...
your tutorials have helped a big deal man....you are second to none
brother , you are the BEST... ! i am enjoying and learning :)
Great Enthusiasm you have Sir G.
Thanks a ton for all your knowledge sharing sessions.
Excellent vdo Krish and thanks a lot. I am tech lead working for 16 years but started learning Data science and got really interested in it. The more I learn ,more I am feeling like working in this area. But At the same time , confused and skeptical about how to represent my learning on cv for a data sc job . This gave me a fair idea to start with a project of my own thanks.
Thanks Krish much needed one.
Thank you sir for sharing such a wonderful video😊 very helpful
Asusual awsm vid sir...very much imformative sir thanks s lot..
very well explained. Thank You.
Superb video.If you are a beginner please watch it altleast 10 times before beginning your data science journey.Even if you have not understood a single thing still I would say your path is correct.Thanks Krish.
Thank u so much sir I am so happy ☺
Reply to answer my question...
Thanks Krish !!!! very valuble info
Very informative Krish. Thnx
Great video,Sir. Clearly Explained
Clearly explained thank you !
Hi Krish, thanks for the amazing explanation !!! Can you please make such a video for a data visualization project.
Great sir! Happy learning
Thank you Krrish Sir for this video
than you sir, with the help of this video i got the liveproject opportunity.
Thanks Krish. It will help me a lot.
very informative video.. I hope it will be helpful for my upcoming placements😊😇Thanks
Sir, please make a video about the list of sites to follow for getting updates on ongoing research in data science...
Thank you for making a detailed video, this was helpful
Thank you sir!
Very well explained. 👍
Thank you so much krish ji
most awaited video
I like to hear more about model deployment and various ways to use model output
Awesome , Video sir!
Nice approach
thanks you cleared a lot of thing
Thank you Krish Naik -
Hi Can you make a video series on practical deep learning projects using Keras / Tensorflow other than bookish Cat or Dog, Handwritten Digits, Fashion Dataset, Detect cancer or not ...etc. We as learner expecting some real life projects feel by Data Scientist in their organization. Thanks
this is amazing Nanni (thank you in kannada) krish anna
Informative 👍
00:01 How to explain data science projects to recruiters effectively
02:11 Explaining the importance of collecting data in data science projects
04:10 Implementing data collection and storage strategy for data science projects.
06:11 Data science projects involve creating pipelines for different lifecycle stages
08:09 Effectively communicate feature engineering and selection strategies to recruiters.
10:13 Explain data science projects as a storytelling mechanism for recruiters.
12:16 Explain model selection and deployment process to recruiters
14:18 Utilize Flask framework for efficient model deployment.
16:15 Sharing experiences and strategies in presenting data science projects to recruiters.
Thank you for all real time details. I know you have uploaded real time project video but can you combine both of them. I mean real time project from collecting data to deployment with challenges, timeline, team are involved
Thank you bro
Though I am aware about AWS and AZURE, I wasn't aware of Cloudfoundry. Can you make a video on that if possible with practical deployment?
Thank you sir
Thank...u
Thank you
Gud explanation Krish..and have an doubt regarding data preprocessing. In pipeline 1st feature selection next feature engineering...why because we can select feature selection then will go features engineering techniques it will be easy right ..other wise lot of work we did before features selection
Thanks krish
awesome man
Sir can you make a video regarding building our personal github profile along with use of github
Awesome Sir. :-)
Thanku sir
In Deep learning what portion you will cover , sir? is the projects given we will do along with course or after the course in INternship?
Can u pls create a video on how to deploy web wrapped projects
please make a video on total data science life cycle from scrapping to model deployment
Please Krish, I co-beg🙏
One video on how you should explain powerbi project
krish Sir....End me video ki Summary bata diya tota to aur badhiya ho sakta tha....Overall nice video
Sir please make video on business analytics project's presentation.
i love you so...you are great.
Hi sir, I am currently studying in 3rd year and I am learning data science from your channel for about a month and loving the way you teach. My question was does a company recruit a complete fresher like me or do I have to get some hands on experience working in an IT company?
For, freshers it's highly improbable for getting hired. You need to have couple years of experience on your resume
But we get to hear that IT companies which clg provide placement are not at all good...they offer less salary and also make us work a lot
Thanks for the video. Can we share the github in screenshare while interviewing for the ease of explanation?
I am a Long-Time Statistician & AIML with 20+ yrs of experience. I knew only R/R-Studio, Matlab and Julia. What type of job should i really apply, because in interviews they ask more on technology related questions, rather than Statistics or AIML algorithms.
Can u plz explain sentimental analysis of celebrities data project
Sir can u suggest a project ,on which I should work to put in my resume
Sir I am fresher that I have 2 years of experience in java , but I want to switch to data science can you please teach me how to start and get job in data science stream.. please please
How to decide the number of hidden layers and nodes in a hidden layer?
Thank you so much for your vidéos, pleas can you say me what is the model mathematic of a project data science, because when I present my project data science in class my teacher say me that I should make the mod mathematic, but I don't understand what he meam about that 🤔🤔
Is Project important in Learning Data Science Or Data Analyst ? As a Beginer How Many Project Should to do? in Excel ,SQL , Power Bi , Tblue , R basic and Python Basic ?
Can I explain a descriptive model in an interview?
Sir due to high recession the fresher will affect getting jobs in MNCs. I'm fresher please guide me
Hello Krish! How can i collect product review sentiments data?
How to pick one good project for my resume??
Hi Krish, I have appeared so many interviews on data science. Sometimes interviewer stopped us and start asking random questions based on the only his expectations... could you please specify how to deal with this situation? Pls answer
There are always some outliers. You always have to face them
I failed in some 13-14 interviews of Data Science until I cracked one finally. In two cases, I was asked to leave after the very first question, which was, of course, pre-decided by the interviewer and I couldn't answer. Just don't lose hope.
@@06madhav can u pl provide the questions which made them to send you straighaway
Deployment videos update
I'm fresher I can't able to explain in interview
U r like God to me now
Sir can we add projects which is done without deployment
No
Do we need to master data structures and algorithms to get into a product based company?
Can I now join as a member by paying to the given GPay id
Can someone respond pls..
can u make one video for kyc reader, how to extract a text from pan card ,adhar card, how to perform ocr ,how to perform orientation.............., one interview asked me one question, i have already asked u.........but u didnt answer that
can i asked again
U can use Google ocr api
@@krishnaik06 sombody asked me.
one question- How do u know the cost funtion go the global minima
i just say u calculate the cost function u can chek where your cost value exhibit saturated ...where u got a low cost....But i dont the exact answer how i know the cost function got the global minima
@@abhishekprakash9803 if suppose you are doing a linear regression model for machine learning it uses gradient descent. In this case the gradient descent will help you acheive to get to the global minima very faster way,once after reaching to global minima(the machine still doesn't know if it is the global minima)-till now the cost function is decreasing,now it will check for one more iteration if that is the global minima point for that then the cost function will increase which is not the case till previous iteration. From this we can figure out that the last iteration till the cost function kept on decreasing is the global minima.
Hope this the answer what you are looking for.
Regarding the global minima question , here is the answer:
Gradient descent is an efficient optimization algorithm that attempts to find a local or global minima of a function.
Gradient descent enables a model to learn the gradient or direction that the model should take in order to reduce errors .
Direction in the simple linear regression example refers to how the model parameters b0 and b1 should be tweaked or corrected to further reduce the cost function. As the model iterates, it gradually converges towards a minimum where further tweaks to the parameters produce little or zero changes in the loss - also referred to as convergence.
At this point the model has optimized the weights such that they minimize the cost function for global minima.
Hope this helps.
@@sashpatra88 But if a function is non-convex function have a many minima ....how do u know the cost function go to the global minima.
and one more question i was searching in krish naik..video ..where he studied about aic (akaike information criterion, bic) , i didn't get any video related to aic and bic
do u know about aic and bic where we can used in whch model can i used for regression and classification
how to used what is that...i got so much confused , i suggest make one video for aic and bic, i hope this comment reach to krish naik
Sir if you kindly tell us the steps to follow if we apply Hadoop platform for storing our live stream data . There are few tools available like Kafka, flume so which one to choose and all. It will be better if you make one video on this also.
sure
@@krishnaik06 Thank you sir 😄
Hi Mr Naik. Is there any way, I can connect with you directly over email? I want to consult with you in regards to my data science problem?
Thanks in advance.
Krish is so cute
When will u make videos on Data structures and Algorithms . Please tell.....???
I want to join your community. I'm from SAP domain but I wanna be data scientist. I'm starting my journey towards data scientist career. Can you add me in your course. I want to learn how to started with data science projects. How to tackle with different algorithms with given data set. I want to learn more ,then only I can apply for data scientist job. Please add me in your community, I want to know more.
Video: Explain Your Data Science Projects To Recruiters
My progress: print("Hello World")
Thank you Sir