Session 13 - Numpy Fundamentals | Data Science Mentorship Program (DSMP) 2022-23 | Free Session

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True

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[@yashsaxena7754]

Great session as always! There is an error at 01:02:32. You mentioned axis=0 means columns and axis=1 means rows. However, in the documentation, it mentions axis=0 means rows and axis=1 means columns. But the behavior of some functions such as min,max,sum,mean,std,var doesn't follow the convention of documentation. The reason for that is: the default behavior of these methods is to calculate these values for each column. This is because the columns are the features or variables in the dataset, and it is often more useful to know these values for each feature than these values for each row. But if you see other functions such as np.append or np.unique, here axis=0 indeed means rows. Besides, in pandas we always use index as axis=0 and columns as axis=1. Thought to point this out! Again great lecture though!

[@homeboy1733]

Thank You Brother!

[@prof_chandanhkumar6616]

and pandas?

[@mahamjabbar7618]

I have never watched a 2 hour video in one go but it was very interesting. Thank you so much sir.❤

[@abdulhannan-go8hl]

sir Kamal effort put ki ap nay...!! thank you very, very much for putting effort to teach us such complex concepts in a simple manner 😍😍

[@flakky626]

1:39:55 sir sare questions khud se krr liye (idk khud pe proud feel ho rha tha 😅🥲, Im in FY now)

[@rohinisingh6916]

Very nice lecture... thanks for uploading it . 😊 Sir

[@maitreyamoharil4299]

BEST VIDEO ON NUMPY ON WHOLE KZbin ! RESPECT++ TO YOUR EFFORDS SIR

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Thank you Sir. God Bless You

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[@arindamInsightFullMath]

What a explanation no words just hats off ❤❤

[@rohantalaviya136]

really good teaching sir, thank you making this video.

[@NishantKumar-uj9iu]

thanks sir, i learn alot from you videos and still learning

[@varun-k2i]

Thanks alot for this amazing video on numpy

[@shashankbhosale8818]

superrrrrrrrr session on basics ... very much clear

[@krupal_patel]

Thank you Gujuji🎉 for a one of the best explanation of numpy lib.😊

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[@harshshukla12]

1:08:15 the way you are showing dot product is similar to normal matrix multiplication in maths in grade 11, but we can also perform dot product of two vectors having dimensions (1,3) and (1,3) respectively how?

[@hhamzazaibbhatti1765]

In slicing we provide [Row : Range-1 , Column : Range-1]

[@sujithsaikalakonda4863]

Very well explained sir

[@aishubhokare]

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ekdm maza a gaya

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[@NabidAlam360]

Can I write a3[1][:, 1:2] instead of a3[1,:,1:2] where the output is same which is array([[10], [13], [16]]) for a3 =np.arange(27).reshape(3,3,3) a3

[@zee4654]

for i in a3.flatten(): print(i)

[@aizazalishah5496]

thank you sir

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23:11 to start

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clear

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[@anandjain7655]

Hello Sir, I checked your Data Science Mentorship Program and found really interesting and practically explained. I am learning Data Analytics. Will Numpy, Pandas, Matplotlib and seaborn sections be useful for me from DSMP ? Does it cover same content required for data analytics? Please reply....Thanks in Advance.

[@campusx-official]

Yes it will help

[@anandjain7655]

@@campusx-official Thank you so much for your quick reply Sir... Is it also needed in so much detail for data analytics or should I just check the relavent one for data analytics and do that? Also I had one query regarding your data science course which i asked in contact form please reply to that.

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1:07:00

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[@mahipalmahato7648]

26:09

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[@tekprof5542]

Payment automatically deducted by youtube scheduler.

[@vrushikeshmulik9510]

Kindly deactivate… already video shared regarding how to deactivate membership

[@tekprof5542]

@@vrushikeshmulik9510 anyway I deactivated. But my question is whether paid sessions are available for this month on KZbin or not.

[@Noob31219]

@@tekprof5542 yes they are availabele

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Hey is there separate videos for paid section ? And what about the live for paid section people ? Could you pls give me clarity

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[@AkriteePathak]

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[@darshilkhanesa9014]

clear