Комментарии:
We get it! Dataiku does it all
ОтветитьTina, thank you for helping me getting started into data science field. I am trying to get into real project and portofolio,hopefully i can switch my career soon!
Ответитьgiving the whatsup number to make a data science project with the help of your
ОтветитьOh my gosh this is so cool! Real world fun DIY financial literate centered projects
Ответитьcan i work as a data scientist from home
Ответитьtoo much dataiku spamming
Ответитьgreat tutuorial!!
ОтветитьHer lip color is so .. delicious.
Ответитьnft shilling, really?. go off queen
ОтветитьGood stuff here! Thank you for the inspiration!
ОтветитьThis is amazing Look complicated but I'm intrigued!. Is it as easy as PlutoHQ Trading, Ninja, MegaTrade, etc make out to be?
ОтветитьTina, you are the best! I have completed the Data Analyst course, but Data Science seems so interesting in your videos! I will try to follow your advices to complete projects from this video. Thanks!
ОтветитьHonestly I'm still confused and I really want to know what projects I can do as a data analyst
ОтветитьMoney is supposed to be flowing in? I guess my bank statement is broken because I only see money flowing out. 😔
ОтветитьThe league of legends one will
Be super fun to build! Thank you for your awesome videos and ideas.
I think I'm in love with this girl
ОтветитьCan you also do this w R studio?
ОтветитьCorrelations only matter if there is divergence, it's a strategy Larry williams tought.
But recently got intresting in coding, with and economic background, so i am glad i found this channel
Extremely good recommendations 🥺✨🍀
ОтветитьThanks iam very pumped to kick start my data analytics Projects
ОтветитьAmazing - thank you!
Ответить40% of this video is just plugs for Dataiku.
ОтветитьI love Python :D
ОтветитьViewing a person as a vector is a very interesting concept.
Even though the output by the person is a scalar rating, each individual can represent a vector.
The rating itself can represent a dot product between the person and the unit vector of the product.
If we collect rating from a same group of people on different products, we can categorized each product using these people as a guide.
We can also group people together if they rate the product similarly and use them interchangeably if we are missing data on some people on some products.
Decent video, but you need to chill with promoting your service every 30 second
ОтветитьWell i watched this whole video and then sit infront of my computer but I don't know how to do it 😅
Ответитьthanks much dataiku for sharing, very usefull and nice video, i will wait next videos.
Ответитьwould be nice to combine all the hard selling in the end :)
ОтветитьLeague of legends' community is one of the most toxic there is.
The game is notorious for it.
But the project sounds fun. Thank you for these suggestions. Eye openers, really.
data science seems fun.......that WOMBO though
ОтветитьThank you! Looking forward to more insightful videos.
ОтветитьGreat job. Thank you
ОтветитьNFT, yeah ,no thanks., shit video
Ответитьpaid cooperation please contact with me
Ответить"Thank You", thank you very much
Ответитьthank you for your kindness
ОтветитьAlready done #3, I wanna do #1 next!
ОтветитьMight try out 1 and 3, thanks
ОтветитьSince you guys did a video about linear.
Can you guys do video about exponential, Quadrant and sine
I will attempt all of these! If I need any guidance… y’all got a discord? Lmao
Ответитьyou lost me at NFT
ОтветитьNiiiice video and nice chanel. Like and suscribed fron Argentina. Please, keep it up
ОтветитьI'm new here, and learning logics and algorithm yet, but woul love to see more projects, for newbies, intermediate e advanced coders... I knew I have to practice a lot to become good.
ОтветитьI like the NFT idea! But by looking at the dataset and the Feature importance article, I don't understand how to implement that, can someone give me a hint?
Ответитьhey please,teach us machine learning or how to do projects live to get idea
ОтветитьNice and informative video👍👍👍
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