Hay i have a confusion how to create anytype of a data science project for collage submission and which project is best for submit in collage.. please help me

very good

Is working on claims data boring?

good

Data Scientist vs Data Analyst vs Data Engineer: What's the difference? ...you didn't really answer the question dude. Good video all the same...

I have a Masters degree in public health and want a job in Healthcare data! Where can I work at?

it was so clear, thanks so much for the video

Allen Michael Allen Maria Johnson Richard

Lee Christopher Thomas Christopher Thomas Margaret

How can I check if my resume is ATS-friendly? You mentioned you would attach a resource to the description.

Well, my question is , with your full wardrobe why do you still go and wear your husband t shirt. See how you're flying inside 😅

Thanks man.

SmythOS's minimalism is what initially attracted me, but its performance is what keeps me using it. It’s lightweight but powerful, handling multitasking effortlessly. The regular security updates are also a big plus, ensuring that my system stays safe without compromising speed. Highly recommended for efficiency lovers.

the video has added a signigicant layer of info in my mind as am about to start my own startup.

I don't remember much from calculus 2 or 3. I'm going back to get my masters and my first class is going to be data science. So grateful for this video!

I usually do not have ideas about how to build stuff though I am doing a part time as a software dev. I recently started learning data science and it seems i am understanding the concepts better than doing web related stuff. Maybe because it is python related or i might actually have an interest in it... I usually like playing around json files and csv files by getting the data i need and display them using numpy and pandas dataframes and so far it is cool.

Thanks for these insights

Thank God for your knowledge! I will keep watching your video and read these job descriptions. Amazing work!

Thanks a Lot for sharing ❤

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