In this video I discuss 10 data science interview Questions with answers. #datascience #dataanalytics
Пікірлер: 68
@CleorieAntibeAr4 жыл бұрын
01:49 (Q1) What are the assumptions for Linear Regression? 03:33 (Q2) What is the difference between Precision and Accuracy, can you explain in terms of Confusion Matrix and Confidence Interval? 06:36 (Q3) Normal distribution question 09:36 (Q4) What is the power of a hypothesis test? Why is it important? 11:33 (Q5) What is the difference between K nearest neighbors and K means? 13:19 (Q6) Explain Random Forest in Layman terms. 17:40 (Q7) What is K fold cross-validation? Why do we use it? 19:31 (Q8) Explain how we can handle missing values in our data? 22:21 (Q9) What is the difference between a Bar Graph and a Histogram? 24:17 (Q10) What is a Box and Whisker Plot and when should we use it?
@pandawoan4 жыл бұрын
thanks hero
@ShubhamSingh-jo5nb Жыл бұрын
Who are you
@KenJee_ds4 жыл бұрын
These are great! This goes really well with a video I made about what to expect from the data science interview process. Keep up the good work!
@Vishal-pr2tf4 жыл бұрын
Please do more interview videos. This is great help. Thank you!
@CristianBittel4 жыл бұрын
Great video and great topics you propose for interviews! Thank you.
@80Satpal4 жыл бұрын
Much appreciating your efforts. Useful video to get a fair idea on what diff type of questions one can face. I have one small observation as follow: Explanation of question 6, is more of a feature selection rather than how actually a random forest works. It should be first deciding some most important parameters (feature selection) and then asking people what is best out of 3 offers based on selected parameters. People will respond as per their experience and learning and recommend an offer to go ahead. The highest number of people recommending an offer is what I will go ahead. Now, in technical term, these number of people are my trees (forest).
@arnabghosh61904 жыл бұрын
It was very helpful video. Keep posting videos on data science and how to answer them
@dineshvarma985 жыл бұрын
I appreciate your attempt 👏👏
@jaklongshot90564 жыл бұрын
Please more vids on interview questions! This was great!!
@edsonrios87454 жыл бұрын
Very helpful video. And I loved your explanations and advice! Keep posting videos, I enjoyed learning with you!
@bheeshmak.s51254 жыл бұрын
Good content and explanation..
@chetanatemada46524 жыл бұрын
Excellent questions , looking forward with more questions
@TheRiseAcademy4 жыл бұрын
i am working on a new one right now. Should be out in couple of days. thanks for commenting.
@poojamankar4 жыл бұрын
Thanks for the work... Good efforts
@arvindsinghrawat5383 жыл бұрын
Um, the way you explained precision and accuracy was so good, I can rest now 😅
@awanishkumar63083 жыл бұрын
0 9
@How2hit5 жыл бұрын
Appreciate the video!
@indexoptiontrader32054 жыл бұрын
Your voice modulation is very audible and soothing.. Thanks for the video..
@virajghodke45193 жыл бұрын
Appreciate Your efforts. Thank you. Keep posting 🙏
@haribabu5834 жыл бұрын
You have done a good job. It is very helpful
@hitarthshah81993 жыл бұрын
Thanks for sharing!!!
@karthikparanthaman6343 жыл бұрын
Best Random forest ever!.. Thank you so much!
@shubhamkhatri7905 Жыл бұрын
Thank you ! We need more videos based on data science interview questions.
@majdoubwided66663 жыл бұрын
I was asked about some ML and deel plearning algorithms, about accuracy recall f1 score and precision. Also about testing... some iq questions 2....
@manojkumar6564 жыл бұрын
Really appreciate 😊
@andyn6053 Жыл бұрын
Great stuff!
@puneettiwari22513 жыл бұрын
Great job
@CromaCampusOfficial3 жыл бұрын
Thanks for sharing this video really helpful for new students.
@JoelJohnJs4 жыл бұрын
Good Work 😁
@viswajeettoshniwal6541 Жыл бұрын
Great work. Thanks
@mayankkumar4294 жыл бұрын
Very helpful
@marianaperezcong268111 ай бұрын
GREAT QUESTIONS
@seymatas3 жыл бұрын
16:00 Random Forest LinkedIn Example. There are 10 companies you got a job offer. You show 3 of them to your LinkedIn contacts. If change the example like this we consider both bagging and subspace sampling. (Bagging-Bootstrap Aggregation is to use some of the data, subspace sampling is to use some of the features. )
@akshaypatil9229 Жыл бұрын
Very well explained ! Thank you.
@harisankars8863 жыл бұрын
Very helpful video
@rahulrokade20483 жыл бұрын
Thank You Ma'am !
@JohnK-th9yw5 жыл бұрын
thank you very good questions
@TheRiseAcademy5 жыл бұрын
welcome!
@kumarnityanand59455 жыл бұрын
Great efforts 👌👌👌💐💐💐 please do post more videos. Its was very useful
@TheRiseAcademy5 жыл бұрын
thank you!
@tahseenabbas52 Жыл бұрын
Thankyou so much 💖
@sawanshrivastava4147 Жыл бұрын
good one please domore videos on layman term explanations
@ambujmittal68244 жыл бұрын
Hi, can you please tell me why is multicollinearity bad? Thanks in advance :)
@ankeetaprasad43274 жыл бұрын
In Z score question can we do it with a t test
@aryapulkit88864 жыл бұрын
Bar graph gives us insight about categorical data. I think Discrete is not the right term.
@rdanda2 жыл бұрын
👍
@My-NaMeS_jEfF3 жыл бұрын
If it deviates from the standard more than (k) times , the probability of the z score is squared exponentially
@dassauli4 жыл бұрын
I like the way you tried it, but unfortunately you lack explanation , when you say linear relationship please be specific about linear relation between what? if i have a quadratic data, you mean i can't run linear regression?
@rolandheinze71824 жыл бұрын
Not sure about the explanation for question 1. Nor why linear regression requires the assumptions for best linear unbiased estimators. Can still fit a linear regression just fine without them, albeit it might invalidate confidence intervals and interpretability. Who cares what the assumptions are if MSE is low?
@TheRiseAcademy4 жыл бұрын
do you think the MSE will be low if the assumptions are not true? Low MSE in itself means that the residuals are small and the predicted linear regression line closely represents the actual pattern in data.
@karunaraghuwanshi73024 жыл бұрын
Are these questions for freshers? Or experienced one as well?
@chiranjeevic83844 жыл бұрын
for freshers
@jcindass894 жыл бұрын
you are indian and smart. good news for you and india
@dineshkarumuri18752 жыл бұрын
Aaa... You ggggggive excellent explanation.. Please use perfecttttttt mic .. Because a lotttt of unnecessary sounds coming from your mouthhhh.. Those are getting irritattttted me.
@Gavinnnnnnnnnnnnnnn4 жыл бұрын
These questions are way way way too easy for any good ds job. These are more like statistics 101 problems.
@pan.sushant4 жыл бұрын
Not engaging.
@zitzanenmbuan72374 жыл бұрын
for the sake of it, please use a different, more pleasant computer voice for your videos. Thanks in advance.
@zitzanenmbuan72374 жыл бұрын
no offense-- your content seems to be great; but it's very tiring to listen to you're voice-over. sorry, but TRUE
@Leon-pn6rb3 жыл бұрын
idiot be grateful and show some intelligence and put it on 1.5x , use equalizer if you can't focus
@alexjenkins80264 жыл бұрын
for someone who says "communication is key to data science" you seem to use the visual medium of video very poorly... Reading exactly what's on screen 10x faster than you reading it out really bugged me. I realize actual video can take a lot longer to make, or cost a lot more. But PowerPoints with text dumps haven't been 'good communication' since 2000. Sorry if this was harsh, great info. I just muted it and scrolled through each slide - which would've been a better experience on slideshare sadly.
@JatinderSingh-ff4eo4 жыл бұрын
I think you should listen too. It's a fabulous video.
@alexjenkins80264 жыл бұрын
@@JatinderSingh-ff4eo It's good content sure - no arguments. Not what i was getting at.
@TheRiseAcademy4 жыл бұрын
great then i guess my video will be useful for those with hearing problems if my slides are good enough to just read thru.. ha ha :-)