I don't generally comment on video. This is my first comment in youtube. I must say this series is really helpful in terms of the basic concept of maths which is useful in ML.
Very nice explanation sir. I would like to request you to please make a series on various probability distributions like Gamma, beta, binomial, Poisson, uniform etc. and their practical applications. It would be very helpful.
Thnx for the course i was afraid before that how should i learn the statictics and i watch the many videos on youtube , coursera and udemy but never get the expected outcome and then yesterday i found this channel and the videos these are amazing . I am requesting you to please create a playlist to cover all the concepts that needs to learn to be a data scientist. Again thank you and lots of love from a future data scientist.
Dear sir you explain very well in this video, the concept of removing the outliers using std deviation and z score but in z-score outlier removal at the end you miss the code for df_no_outlier using z-score. The correct code will be df[(df.zscore-3)] . That is the inverse of outliers rule. Thanks a lot sir for such a wonderful explanation... The way of teaching is so good...
How simple is normal distribution and Z Score that you explain thanks sir. A little confuse from code to remove outlier 13:51 and 3* Standard deviation to get 54 Any one can explain from outlier datapoints extracted from data frame and save another variable on data_no_outlier but how the data frame extract that data from list without remove that rows and without using the code like (drop... ) To remove outlier rows
price_per_sqft value such as 500 rs which is very very low for the city of banglore. You would be very lucky if you can find such as property :) sentnace from you solution.🤣
Can someone pls help me know where can I find the link mentioned at the end of the video. I can't seem to find under the heading of the video. I can see it when I watch on mobile, but can't find the same when watching from laptop.
@@codebasicsHindi Yes. I can now see the description under the heading of the video with links. Earlier I was not able to see any description under video from laptop hence could not find the links to the videos or sites you were referring to. Thanks for the reply.
This is the best video on RUclips that explains normal distribution very well.
Sir Kindly Make A Full Course of Statistics for Data Science.
Best Explanation Sir and so Easy to Understand
I don't generally comment on video. This is my first comment in youtube. I must say this series is really helpful in terms of the basic concept of maths which is useful in ML.
Glad it was helpful!
Very nice explanation sir. I would like to request you to please make a series on various probability distributions like Gamma, beta, binomial, Poisson, uniform etc. and their practical applications. It would be very helpful.
Sir, Thanks a lot for making this course,.. please never stop this,.... continue continuously regularly :)
Keep watching
Thnx for the course i was afraid before that how should i learn the statictics and i watch the many videos on youtube , coursera and udemy but never get the expected outcome and then yesterday i found this channel and the videos these are amazing . I am requesting you to please create a playlist to cover all the concepts that needs to learn to be a data scientist. Again thank you and lots of love from a future data scientist.
Wonderful, very informative and easily understandable,
Great work sir. Please continue this series.
stats made so easy...cn imagine its so easy to learn frm this video.
Dear sir you explain very well in this video, the concept of removing the outliers using std deviation and z score but in z-score outlier removal at the end you miss the code for df_no_outlier using z-score. The correct code will be df[(df.zscore-3)] . That is the inverse of outliers rule. Thanks a lot sir for such a wonderful explanation... The way of teaching is so good...
Yes you are right.
@@h44r96 Thanks :)
Really Sir Ur doing a best.....Amazing sir I watched so many videos on this topic how u make concept clear really.....great
dhavalbhai moj padi didhi , bahu saral shabdo ma rajuat kari chhe
Vijay Bhai, dhanyavad
Sir/Bro, Kindly Make A Full Course on Statistics for Data Science. It will be the most awesome one on youtube. That I can safely assume. Kudos!
Median is the best option to use if there are extreme values in datasets. It will cover the outliers and provide correct mid point!
Median is a good option if the dataset dimension is huge including outliers. Median wont work on small datasets even if there are outliers.
u r true teacher, thnks a lot
Beautifully explained.. thanks
Best education video i ever seen 😍
Thanks alot this is the brilliant way to understand state in python 😇👍
Thanks sir. Now I got to know why you have 0 dislike. Appreciate.
Thanks! You explained it very well with real live examples
Bhot aala work hai Sir, pl is ko continue rakhiya ga
Amazing sir I watched so many videos on this topic but not understood properly but this video so easy to understand.
Glad it was helpful!
Your hindi is awesome 🔥🔥
Sir,you really doing great work 😀
Very helpful sir, plz statistics ko continue rakhiye
Great explanation and very helpful thanks for this video ❤️
Sir bhut achi video banaya hai
How simple is normal distribution and Z Score that you explain thanks sir.
A little confuse from code to remove outlier 13:51 and 3* Standard deviation to get 54
Any one can explain from outlier datapoints extracted from data frame and save another variable on data_no_outlier but how the data frame extract that data from list without remove that rows and without using the code like (drop... ) To remove outlier rows
very well explained 👏 👌
reallly good video
Sir you made it simple thanku
👍👍
Excellent Bro, Very nice explanation. Thanks
Very crisp
Simple and crisp 😍😍😍
Thanks!
Sir continue this channel also
Awesome.. thanks a lot for making this one.
Very well explained.. thanks
Thank you
thank you
Loved it ❤️❤️🙌🙌🙌🙌❤️❤️
You are great Sir
Sir Aap data scientist of statistics ka pura syllabus apload karo na?
What of we had count of 5 in 6-6.5 range ? then we will not get bell shape
the person who is a beginner does not know this much python so how they can do this in excel?
Hi sir when I do the exercise both quantile and mean std the results are given different why??? Please-explain
Not able to get the questions from discord you shared please help.
sir if we take log then outlier can be handeled?
Sir Normalisation and in python we use Min Max Scaler
Both r same na..??
I love your videos man. You are fucking awesome!
price_per_sqft value such as 500 rs which is very very low for the city of banglore. You would be very lucky if you can find such as property :) sentnace from you solution.🤣
Can someone pls help me know where can I find the link mentioned at the end of the video. I can't seem to find under the heading of the video. I can see it when I watch on mobile, but can't find the same when watching from laptop.
which link? github page link you mean?
@@codebasicsHindi Yes. I can now see the description under the heading of the video with links.
Earlier I was not able to see any description under video from laptop hence could not find the links to the videos or sites you were referring to.
Thanks for the reply.
Sir live data ko keyse normalise kore
explane this topic
skewness and kurtoswis
Data analysis ka job ka vídeo banaye sir plz
🙏🙏
Where to get csv file for that exercise question??
go to the description, you'll be directed to a exercise.md file. From there move to the exercise repo to find the .csv file