@codebasics

Here are the reasons:

➡️ The candidate lacked a structured approach and technical depth.

➡️ The suggested method of simply removing rows with missing data, without considering alternatives like mean/median/mode imputation or using a constant value, highlights a lack of problem-solving depth and adaptability.

➡️ For business scenarios, demonstrating prioritisation and stakeholder collaboration is key.

➡️ Confidence and clarity in responses matter!

How would you respond to such situations? Let us know in the comments below! 👇

@ShahnawazKhan-xl6ij

Beautiful initiative taken.
I'm looking forward to seeing such incoming videos.

@ganeshgunjal4220

I am apsiring one and i got my weaknesses here. Will try to overcome it. Thanks sir/mam😊

@chinmayarao2464

Beautiful, more of this please

@eighttech

Best way of making video

@priyankaaghara2219

Make more... such a good content!!!

@leonaresh7152

If data has missing values > 30% we need to drop the column

@mngs13

I didn't understand the questions also 😂

@siddharthpunn10

I guess live lectures r better than recoded

@Card_talk_

Worth channel to subscribe

@Paras7627

hold my beer, how can you remove the rows when  dataset has missing values?

@chusanths953

Can any one explain and give the answer for 4th question??

@sivasankaran6940

These are all entry level questions
?

@nikilak6481

Make more

@Nitin385

Was the last question meant to be failed? I can't even understand the question.

@sandeep_rathore21

Sorry bro you did not get selected