Wow I was confused about this and you explained it so well!!!! Thank you
@teja26832 жыл бұрын
Today I learned so many things from you bro
@CoopmanGreg Жыл бұрын
😀There was no skewness in the opinion of your watches. They were unanimous in that it was a GREAT video. I definitely agree. Thanks.
@visvashattri3 жыл бұрын
Thank you.. it was indeed helpful :)
@freeprivatetutor8 ай бұрын
❤ and hug. ❤❤❤❤.
@alok94singh2 жыл бұрын
nice explanation sir, keep posted these kind of informative videos
@mkeremyucedag3 жыл бұрын
Hello from Turkey! That's great content. I'd like to ask you what if our target (y) is skewed what to do then ? For example let's say I made a car price prediction model and variables are horsepower of car and color of car and car price is skewed in dataset. I did sqrt or log to car price and trained the model, got the mse and did model tuning everything is finished. And now I want to see a 180 hp black car's price. If I insert the values it will give me the sqrt'ed or log'd value right ? So if I do the reverse of log or sqrt will it give me the real car price ? Or should I do other operations ? Thank you...
@sukamal_das3 жыл бұрын
Hello, if the target is skewed, you can apply log or sqrt transformation. Now the predicted value you get is not original price value, it is either sqrt or log of the price. To get the actual price from predicted value, you can apply the inverse function, for eg if transformation is square root, apply square or if transformation is log (base e) apply exponential function i.e np.exp(). I hope that helps, Thank you.
@mkeremyucedag3 жыл бұрын
@@sukamal_das Oh now it's very clear for me. Thank you so much your contents are great. Sincerely...
@Sallu01233 жыл бұрын
Thanks for the videos, where is the descriptive stats videos
@sukamal_das3 жыл бұрын
statquest and khan academy videos are good.
@HariMithra-iz7oq3 ай бұрын
Hi. Can you please take me a paid tutorial for a case study of australian vehicle prices from kaggle? Just one session will be enough.
@mamatha1850 Жыл бұрын
your video is helpfull.you r saying that highly correlated features with the target.we no need to perform any transformation.will this impact the accuracy of the model.plz reply
@ketanbutte3497 Жыл бұрын
Hi Sukamal, great explanation. For symboling, can we convert the scale to min-max(0-1) and then apply sqrt?
@michaelogunmakin91432 ай бұрын
subscribed, thank you!
@adamleyon82973 жыл бұрын
absolutely useful video, thanks for sharing!
@charmilam9203 жыл бұрын
great video
@ajaykushwaha-je6mw3 жыл бұрын
conceptual knowledge is very good, you have earned 1 more subs. There is one just improve your playlist, rest are good.
@pforpython7884 Жыл бұрын
Could you please share the link for Descriptive Statistics Video?
@preciousbatta95762 жыл бұрын
Very helpful.. Thanks I also want to ask if we reduce skewness, is there any need to scale the data as well?
@sukamal_das2 жыл бұрын
Yes scaling is still required.
@shama63453 жыл бұрын
How can we remove negative and positive skewness together?
@sukamal_das3 жыл бұрын
Skewness can be either positive or negative, if positive apply square root, logarithm, if negative - apply square, cube or higher powers.
@shama63453 жыл бұрын
Plz make video on that
@AbhishekSingh-og7kf3 жыл бұрын
very useful video, thank you for sharing.
@AshishYadav-vi6on2 жыл бұрын
very well explained!
@AbhishekRana-ye9uw3 жыл бұрын
sir how do i find skewness of a list given as price = [14751, 16422, 15398, 9445, 12589, 11687, 10692, 8475, 11184, 9961, 12898, 11905] please do reply sir will be very helpful :-)
@sukamal_das3 жыл бұрын
from scipy.stats import skew import seaborn as sns price = [14751, 16422, 15398, 9445, 12589, 11687, 10692, 8475, 11184, 9961, 12898, 11905] # print skewness value skew(price) # plot distribution sns.distplot(price)
@AbhishekRana-ye9uw3 жыл бұрын
@@sukamal_das thank you sir you are great👍🙏
@JVJBA Жыл бұрын
Hi can you pls share the video for discriptive statistics ?
@rohinisn81474 жыл бұрын
Tq sir....🙆♂️
@sktdebnath2 жыл бұрын
Very very useful.
@pranavkhurud6254 Жыл бұрын
Hello DAS Sir, Could you please help me or provide here a descriptive statistics video link. Not able to find out. Any update
@pranavkhurud6254 Жыл бұрын
Anu update
@RashmiUdupa3 жыл бұрын
Instead of removing skewness, would removing outliers be enough?
@sukamal_das3 жыл бұрын
Can't say that, but removing outliers will definitely reduce the magnitude of skewness, but no guarantee on totally removing the skewness. Skewness and outliers are 2 different things, A normal distribution with 0 skewness can have outliers on both the extreme ends.
@ajaykushwaha-je6mw3 жыл бұрын
removing outliers by trimming is removing records which comes in outlier i.e. you are loosing the data. removing outliers with capping is good practice and you can try, it works very well.
@pinkyeeeepinkydas2 жыл бұрын
in heat map one feature has 0.002, 2nd has 0.0017.when i am going to skew, getting negative values for 2nd one -0.07723174570350672 where in first 0.2155809290498895. is it correct. why -ve values comming
@brameeev57683 жыл бұрын
can we use VIF to find the correlation i.e. multi-collinearity?
@sukamal_das3 жыл бұрын
Yes you can use that too
@zohaibramzan63813 жыл бұрын
Why skewness needs to be removed?
@Rajaraj-kf9kx2 жыл бұрын
hello sir how to remove the negative skewness
@sukamal_das2 жыл бұрын
You can go for square/cube/ higher power transformation
@sheelazaware54942 жыл бұрын
Hello I tried this code I got hist but not curveshape on it why ?
@sukamal_das2 жыл бұрын
Sometimes this might happen due to different versions of matplotlib or seaborn
@sayednab Жыл бұрын
#name sns is not defined. what am i doing wrong here?
@sukamal_das Жыл бұрын
You are missing an import statement, add this on the top cell - import seaborn as sns
@sayednab Жыл бұрын
@@sukamal_das yes, I figured it out. thx anyway
@NehaYadav-hs1po3 жыл бұрын
I typed your code but line is not visible on histogram!! whats wrong in my code? #skewness
@sukamal_das3 жыл бұрын
Sometimes this might happen due to different versions of matplotlib or seaborn
@NehaYadav-hs1po3 жыл бұрын
@@sukamal_das whats the solution then?
@sukamal_das3 жыл бұрын
@@NehaYadav-hs1po try upgrading your seaborn version