Комментарии:
anybody knows where to find sales dataset as csv?
Ответитьjo ad lagata hai video pay us ki maa ki kus mein lun
ОтветитьIs this video relevant for Data Engineers too?
ОтветитьIt sounds like he's saying "raiding data" which is honestly so much better
ОтветитьVery difficult to see your presentation. The Letters are too small. Zoom in, please....
ОтветитьI'm searching for the software he is using right now but I can't find it. Can any one send the link if possible??
ОтветитьHi, sir, please update the course cause the read csv,html, and sql isn't function quite efficently considering todays python.alos in the html the link of simpson is updated by wikipidia.
please take a look.
Lecture 1 Cell 20
''' corr = sales.corr() corr '''
Isn't working for me :/ "ValueError: could not convert string to float: 'November'"
Are these video courses available in Spanish anywhere?
ОтветитьGreat video!
ОтветитьIs JupyterNotebook better for data analysis or VisualStudioCode has same features?
ОтветитьPlease share sales data csv. Thank you
ОтветитьA word of advice for the guy teaching, please type the commands/codes yourself while explaining each line of code. You are just skimming what was already written and barely giving any time before scrolling down. Writing the code (prepare then read it from another screen or script) and explaining it will have a massive difference for your audience/students to understand. Teachers like blackboards over slideshows/pre-written materials to teach, because it helps the pace to train on it, is almost equal to the pace students understand.
Sure, the video gets a bit longer or maybe a lot but nothing beats understanding it better than a quick video where it's harder to understand.
Moving forward ------>
Ответитьhorrible
Ответитьhow to find this Course python files?
Ответитьam i the only guy thinking this guy doesn't know how to teach?
ОтветитьNote to self: this gets spicy around the 54 minute mark
ОтветитьMore like a introduction of Jupiter notebook
ОтветитьThank you, I'm enjoying it so far. I'm only struggling to read the code as the font used is a bit small.
Ответитьide
ОтветитьThank you
Ответитьi dont know a dang thing about programing ,just a little command prompt and thats it.. yet i actually understood what he was talking about. damn good teaching skills and communication skills .thank you.
ОтветитьThis course isn't good. The instructor moves like a bullet train between topics. Fonts are too small for Mac book Air. The section on data cleaning is very confusing. I had to pause this video and follow other videos on data cleaning. The flow of topics is also very jarring.
Why isn't data cleaning the second topic after 'Introduction'? I tried my best but gave up after 3 hours or so.
Where is the seaborn tutorial?
Ответитьcan somebody please help , where do i get the sales_data.csv used in part 3 Jupyter Notebooks?
ОтветитьBeautiful tutorial ❤
Ответитьwhere i can get these exercises?
ОтветитьI just tried their service for 10 usd and I am shocked. HOW ?! IN A MOMENT whaaaattt
ОтветитьNichesPanel: hold a pint
ОтветитьWho did the advertisement for the NichesPanel store appear to?
ОтветитьMa quanto è bono Santiago? 😂
Ответитьthis not recommended for beginner
Ответитьthis video confuse my all concept
Ответитьvery difficult to understand
ОтветитьGreat! Thanks!
ОтветитьHow can i download this data?
ОтветитьThis tutorial is one of the worst. You are talking about nothing for a very long time. If you got to the point faster , this video could last approximately 2 hours.
ОтветитьThanks so much for this tutorial. Already within a half hour I have learned so much, and even enough for basic data analysis! I successfully imported all the modules including sqlite3. However, I get blocked when I run the next command: conn = sqlite3.connect('data/sakila.db'). It says 'Unable to open database file.' Why would that be?
ОтветитьAdd sections to all videos please
Ответитьanyone else having troubles converting to the notebook
Ответитьrecommendable job ...very useful
ОтветитьSHALOM !
ОтветитьThank you to help the TI community, I am a beginner so I apreciate it.
ОтветитьA tremendous effort to go through data science topics. Extremely beneficial. Highly recommended and appriciation
ОтветитьIt's amazing! Thank you!
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