Day-11: Mastering Pandas Library and EDA (Part-4)

[@mahboobulhassan7419]

imputation of missing values necessary because 1-many ML algorithms do not support missing values 2-missing values distort dataset 3-missing values may affect final module results

[@SheeninTech]

1:02:04 'fare' dtype (int) and 'class' dtype (string)

[@dastajan6789]

Great sir g and in very easy way you have teaching the lecture thanks you so much sir g❤❤❤❤❤❤❤

[@turab1021]

Got enrolled in this mentorship program yesterday, and will catch up with the live sessions Inshaa Allah.

[@ArshadDataScienceFoundation]

Jazakumlah kharn ❤🎉😊

[@doptopgaming9569]

MashAllah sir you are trying your best to teach us we are trying to learn inshAllah today leacture is awesome trying to expand a lectur bit more if you can love and more respect to you sir .

[@82MuhammadAmmar]

good information in your videos very helpful to clear my all concept

[@tayyabali2827]

Just Completed todays lecture and will say just amazing. Really thanks to you sir for making things that easy 😍😍❣❣

[@IqbalShah-om9pe]

Your lecture is awesome l love him

[@AbrarAhmed-en9mv]

Great job Sir

[@MuhammadAsif-hu3id]

Great Effort Sir. Your lectures are awesome

[@latestitems8531]

Sir g tussi great ho ❤❤

[@mathswithrashid3704]

Well explained

[@mkashif6744]

thanks sr for teaching Data science

[@aneeqriaz7091]

jzakALLAH

[@fitfaizan1]

JazakAllah ...

[@ZamamKhan-ki2vl]

My first class

[@MuhammadAsif-hu3id]

continuous mean floating discrete no decimal

[@Ali_Raza1952]

I am student of Statistics i know these terms (mean, Median, Mode) in depth

[@nazishkhizar3109]

Assignament: What will happen if we don't impute missing values ? Missing data are problematic because, depending on the type, they can sometimes cause sampling bias. This means your results may not be generalizable outside of your study because your data come from an unrepresentative sample........

[@muhammadwaleed9039]

Assignament: What will happen if we don't impute missing values ? Missing data are problematic because, depending on the type, they can sometimes cause sampling bias. This means your results may not be generalizable outside of your study because your data come from an unrepresentative sample

[@ZamamKhan-ki2vl]

Ye ap kya ried kr wa ra h hin sir

[@ranaanjumsharif]

Subject : Assignment Day-11 Author : Rana Anjum Sharif How to find survived value by using filtration Ans : df.groupby('class')['survived'].value_counts().tail(10)

[@imranurrehman264]

is it necessary to import libraries in sequence ? pa, np, plt and sns.

[@bappirahman3294]

No

[@juniadlone7187]

Sir upload the titanic data set

[@mathsflight8935]

salam

[@zahidnisar3857]

How can I join your this 6 months course, kindly reply

[@Codanics]

Dear, to register for the 6 months AI and Data Science Mentorship Program, click this link and fill the form give there: shorturl.at/fuMX6

[@creatorshahid]

Can anybody give me a tatanic dataset

[@Codanics]

This dataset in online in seaborn library

[@muhammadhabib8686]

Yr sns.load_dataset('titanic')

[@AdilButt-s8j]

Baba g bug fixed df_01[(df_01['fare'] > 70) & (df_01['class'] == 'First')]

[@shazimzafar923]

to check number of survived with respect to age_groups. df.groupby(["age_groups","survived"]).size()