How Should You Explain Your Data Science Projects To Recruiters?- Must Watch For Everyone
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Publicado 2020-04-10
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Todos los comentarios (21)
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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. ♥️
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I love the quote "IN THE END WE ONLY REGRET THE CHANCES WE DON'T TAKE".
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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
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Thanks Krish, this will surely help freshers as well as those who wants to make transition to Data Science field.
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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...
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Thank you so much! Your videos are great. Keep them coming.
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Thanks Krish much needed one.
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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.
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brother , you are the BEST... ! i am enjoying and learning :)
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Great Enthusiasm you have Sir G.
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Congrats, I follow you with interest, and I believe, unless you dont want to learn, otherwise, everything is so clear!
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Asusual awsm vid sir...very much imformative sir thanks s lot..
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your tutorials have helped a big deal man....you are second to none
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Thanks a ton for all your knowledge sharing sessions.
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very well explained. Thank You.
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Thank you sir for sharing such a wonderful video😊 very helpful
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Thanks Krish !!!! very valuble info
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Thank u so much sir I am so happy ☺ Reply to answer my question...
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Clearly explained thank you !
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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.