Комментарии:
thank you
Ответитьgr8 vid ty
ОтветитьVery helpful. Thank you so much bro
ОтветитьHey Kevin.. Could you please make a 2-3 hr video on ML project covering all the tools from sklearn based on real life dataset let’s say cancer prediction model or something like that trying to combine all the elements important for making a model. That would be a great help.
ОтветитьYou've saved alot
ОтветитьEasy made. smart tutor
ОтветитьHow I should sort "How many trips are occurred per month?" and "Which hour of the day had the most frequent trips?"
Ответитьcould you please make videos on Matplotlib ,seaborn and power bi also for data analysis . I like your way of teaching.
ОтветитьAnyone watching this today? I am getting 'DataFrame' object has no attribute 'to_datetime'
ОтветитьExcellent class! As always! Cheers!
Ответить2022 and you're still saving us. Thanks for the excelent content
ОтветитьKevin, could we define a ts_min and ts_max, and select the events during this interval?
ОтветитьThanks, needed just this!
ОтветитьThnks for this explanation buddy!
So clear and concise!
Bravo man, really really useful. 👌💞🤩💪
ОтветитьThis is a great video. Thank you so much! Also, I wish the pandas API reference still looked like it does in this older video. It's harder to read now.
ОтветитьThank you
Ответитьthanks
Ответитьwhen i am trying to convert my data column into datetype its showing an error unknown string format
ОтветитьHow can I export this "datetime64" (YYYY-MM-DD HH:MM:SS) to a CSV file with the format "DD/MM/YYYY HH:MM" ?
ОтветитьPython is really not intuitive when compared to R.. datetime comparison makes me split my hair . Still try to figure out how to compare a date in a dataframe ( which in datetime format) to today's date and do some action if they both match.. Any help is appreciated
ОтветитьYou're king of this area man!!!!
ОтветитьHi Kevin, lets say you have a date column containing only hour, minute and second. While changing into date format using pd.to_datetime, it added automatically years and days. How could keep only hours, minutes and seconds?
Thank you.
Sheldon cooper
ОтветитьThank you for all the videos - you are the best!
Can you please explain what is dt? is that a class? I am not sure how to think about it.
So many great videos . Absolutely guidness. thanks from GREECE !
ОтветитьHow can I add a number of days column like 10 20 120 to a date column in 2020-06-27 format???
Ответитьthank you for this, I have a lot to learn
Ответить👍
ОтветитьHow would you convert from a column of times in UTC?
ОтветитьYOU'RE THE BEST
Ответитьwow.. you're tutorials are just so awesome !!!!!
Ответитьtable_data = [['Repo1', 'branch1', 'Abhishek', 'Abhishek', '2021-01-20', 1, 0],
['Repo2', 'branch2', 'Mohata', 'Mohata', '2021-01-10', 13, 0],
['Repo3', 'branch3', 'Harsha', 'Harsha', '2021-02-01', 10, 0],
['Repo4', 'branch4', 'Mohammad', 'Harsha', '2021-01-15', 13, 0],
['Repo5', 'branch5', 'Mohsin', 'Nitish', '2021-02-02', 12, 0],
['Repo6', 'branch6', 'Nitish', 'Nitish', '2021-02-01', 7, 0]
]
df = DataFrame(table_data,columns=['Repository Name', 'Branch Name', 'Branch Owner / Team', 'Last Committer Name', 'Last Commit Date', 'Behind', 'Ahead'])
can we change entire row background color based on where Last Commit Date Column values is older than 15days.
good video
ОтветитьThank you, it helped a lot
ОтветитьSpecial thanks for your valuable work. Is the attribute "weekday_name" in panda version '1.1.3' now deprecated? and instead now we have 'day_name()' method?
Ответитьhow can we handle ranges ( suppose salary ranges ) in a dataset? it would be great if any of you can tell.
ОтветитьYou've saved my job on multiple occasions sir, thank you.
Ответитьthere is no ad, like it.
ОтветитьThanks for the tutorial. I have a question.
How can i find unique items under a given column as some could have been repeated?
Great job, bro! Thnx dude!
ОтветитьThat bonus is what I needed. Thank you so much!
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