@JaLikon65
This was awesome! Everyone always talks about how neat data science is, and how easy it is to do in Python, but nobody ever actually SHOWS some data science being done in a video. Really cool, I learned a lot, thanks!
@ayobamiakiode2842
I usually do not comments to YouTube Videos. I had to with this one because it is too good to be true in terms of precision of delivery. I have looked at many YouTube videos with the aim of understanding the fundamentals of python application in data science, most end up confusing me more than initial. This is the greatest video ever; the simplicity and essential details is top-notch. Thank you Simplilearn, you are simply the greatest! Please, I am having problem getting to other related Videos, especially those focusing solely on machine learning, as you stated in the video; please kindly share links. Thank you and regards.
@Arthur-fz5dw
Best short tutorial on Python/Machine learning I've found!
@tomg5374
I am not convinced. If I become a data scientist I can apply to both data science AND data anlytics jobs. While If I limit myself to learn data analysis only, I precluded myself the data science route. So why would I choose to go for data analysis? If I become a data scientist I can still do the data analysis jobs.
@府四
Simple, clear, straight forward, no irelevant trash talking. Liked and subscribed. Hope you have a good day.
@rupeshvaidya7353
Eventhough people say datascience tools provided by python are efficient,we have to understand that its still a difficult language to code through many scenarios.Many feel that datascience tools have not yet been simplified for the end user.Its like climbing mounteverest with ropes attached to you so that you dont have to climb without any support,still its pretty difficult to achieve.
@alvirakhan1359
Sir can you please tell me, how can we find weights on sentence bases?
@ianmbogo2965
Best Machine Learning Intro. I loved it and the practical bit was awesome. Full course taught.
@NephilimShroud
Amazing video. Whoever this person is, absolutely excellent quality of teaching and knowledge. Thank you so much!!!
@TipsGuru4
Learned like A...B...C.....Thanks a lot....keep posting
@AshikinAli-n2b
thanks for the knowledge!
@CyclingEveryday
Excellent. !! Never seen such a clear, crisp training content. Easy to understand examples
@satishchavan2005
Thanks a lot Simplilearn. This is one of the best informative videos that I have come across on Data Science with Python. If possible, will be able to also share the dataset (link to download) that has been used in this video as that will help people to follow along thereby providing a hands on experience as well.
@debmalyaray4860
In the market, we talk of automation. Well, i do scratch my head a bit, when i see aws or azure rule the IT with best autonomous IAAS . So, how a separate automation will work as lift n shift to clould will itself comsume the simplified way of doing things. I personally fill that admin and developers role goes in parallel. Where the prime point as a admin will be architech who has end to end knowledge on architechture and designing capabilities or if developers, then for sure the prime role is of data science who holds capability of python,machine learning, analytics, spark sql, apache hadoop. Desire are individuals and certain as no middle role as automation as market provides cloud as a service with best vendor like amazon, oracle simplifying the repeatative steps already. The architech and data science are the two prime roles goes parallel and every admin or developer should start working in building himself with a handful of experience of 10 plus in coming years.
@mubashirahmad6929
Nice but what you did with gender nulls and other null objects, did you removed all such null rows.??
@joshuafernandes2199
hey can you please add the data set in the video description rather than everyone requesting individually. anywhich ways, good tutorial, please share the dataset.
@balasoupramanienr8178
Good video and more informative ; without the sample data it was too much problem for me to test the ML predictions ; i tried with my own sample data - but i could reach about 40% predict value not more than that - so sample data is the key here to test all these commands - anyway all the commands are working for me andi could run the program with my own data - that much am happy here
@Shaq0112
Excellent introduction. Thank you very much!
@dr.barnalibanerjee4106
Very easy to understand the concept of data science..nice video indeed
@SimplilearnOfficial