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Simple , clear , thanks man

Love that you are creating Dataiku Videos. Be careful about the date types. You must do data cleaning and parse dates and time to work best with Dataiku DSS.

I didn’t know about this channel of you.

So well explained .. thank you!

Where can we find the datasets for healthcare data?

is it just me or did all of you see the like button highlighting at 3:33?? if yes, how is that even possible???

Thanks for the awesome video

Who else liked because of the glow on the like button

Thanks for giving all this information.

Can I have this template.. ?Thanks

Right on point , Thx.

Awesome lesson , learnt a lot from your previous videos too. for Question 5 , this 2 line code also will do the trick artists_list = df['cast'].str.split(',').explode() artists_list.str.strip().value_counts()

If with dataiku i can analyze/vis data and do ML /DL and déploy it….did I learn pandas numpy docker airflow scikit learn for nothing?

This was such a helpful video man you are the GOAT

Awesome! thank you

OK what kind of maths formula used for prediction

love you, Tina, precious girl. ❤

Yoo did nobody see the like button change colors when he mentioned it. WHATTT HOW DID HE DO THAT?

Really thank you for sharing the difference and your opinion of each one

I used to be “an ML research engineer” which seemed to be mix of those two, based on your explanation. I developed deep learning models (tensorflow) and continuously increase the accuracy until our boss is satisfied, and then all we need to deliver is the tfmodel. And there are some other sw engineers who take that tfmodel and deploy it. I loved that role because the daily work involves reading a lot of icml cvpr papers and discuss which techniques we will apply.

Hello,im doing bachelor degree in statistics and im in 2nd year..tbh i passed my 1st yeat without any knowledge about stat.But i want to become a Data analysts and i dont know what steps should i take to be one and i need an advisor to lead me to become a Data analysts. If you don't mind to help me in this regard please..It'd a great help.. Thanks

Hi, I am facing a difficult decision. I currently own an administration business, and I have the opportunity to pursue a master's degree in Data Science with Python. While I've been following the tech path, learning web development with programming skills in Java, JavaScript, and SQL, I'm considering this because sometimes there's a requirement for a related title. Do you think it's a good idea to pursue this master's and venture into the Business Analytics path?

Thanks for sharing such a valuable information on Google Software Engineers and their multifaceted roles as Data Scientist, Research Scientist, ML Engineers, Data Analyst. Brilliant explanation.

awesome!!

Thank you, nice compilation.

Interesting. I wanted to know the difference.

Wonderful breakdown. I choose data science. Thank you.

Great visualization and explaination

@11:52 The summary right there. Thank you!

25h per day could be possible if the person was traveling, some places in the word change hours when the day light is shorter or just by changing setting in the phone can eventually lead to 25h per day. But i get it, it better get rid of weird datas so it is easier to predict later

Thanks for this. I choose Data Scientist

Why is Shishank no more posting videos...i thought something bad happened to him

This was EXTREMElu helpful. thank you for this video

The video was helpful, thanks a lot 🤍🤍

Thank you sooo much for this video! I'm an attorney and translator by trade and have a business degree, but I became a sahm during the pandemic. I want to re-enter the workforce and pivot to data science. A lot of content out there kind of just talks around how to actually pick up the necessary skills, but this is just so informative and thorough. I really do appreciate this!

Amazing breakdown

Very clear!!

such a very approachable video!

3:34 clever

if you work for a startup like me, you get to do all three lol

very well explained

You creat all of that , soo cool🤩✨

Thank you for this explanation. Enlightening

Shashank please come back to doing youtube 😢

nive use of the like button there

Data Science is math intensive for those people who say it not; I'm sorry but I beg to disagree.... if you know the maths Data Science will be manageable.

i want to be a data analyst and i wanted using microsoft excel as my key software to all the work i do, please is there recommendation on which software will be the best to work with

I think you edited the "data scientist" explanation :D

this is nice can we be friends

amazing video