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.
Sir Kindly Make A Full Course of Statistics for Data Science.
This is the best video on UA-cam that explains normal distribution very well.
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!
Best Explanation Sir and so Easy to Understand
Sir, Thanks a lot for making this course,.. please never stop this,.... continue continuously regularly :)
Keep watching
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.
Wonderful, very informative and easily understandable,
Great work sir. Please continue this series.
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.
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...
Yes you are right.
@@h44r96 Thanks :)
stats made so easy...cn imagine its so easy to learn frm this video.
Really Sir Ur doing a best.....Amazing sir I watched so many videos on this topic how u make concept clear really.....great
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!
Bhot aala work hai Sir, pl is ko continue rakhiya ga
dhavalbhai moj padi didhi , bahu saral shabdo ma rajuat kari chhe
Vijay Bhai, dhanyavad
Beautifully explained.. thanks
u r true teacher, thnks a lot
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!
Best education video i ever seen 😍
Thanks! You explained it very well with real live examples
Sir,you really doing great work 😀
Thanks alot this is the brilliant way to understand state in python 😇👍
Sir bhut achi video banaya hai
very well explained 👏 👌
Thanks sir. Now I got to know why you have 0 dislike. Appreciate.
Great explanation and very helpful thanks for this video ❤️
Very helpful sir, plz statistics ko continue rakhiye
Sir you made it simple thanku
👍👍
Your hindi is awesome 🔥🔥
reallly good video
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
Excellent Bro, Very nice explanation. Thanks
Very well explained.. thanks
Very crisp
Sir continue this channel also
Simple and crisp 😍😍😍
Awesome.. thanks a lot for making this one.
Thanks!
thank you
Thank you
You are great Sir
Loved it ❤️❤️🙌🙌🙌🙌❤️❤️
What of we had count of 5 in 6-6.5 range ? then we will not get bell shape
Sir Aap data scientist of statistics ka pura syllabus apload karo na?
sir if we take log then outlier can be handeled?
I love your videos man. You are fucking awesome!
Hi sir when I do the exercise both quantile and mean std the results are given different why??? Please-explain
Sir Normalisation and in python we use Min Max Scaler
Both r same na..??
the person who is a beginner does not know this much python so how they can do this in excel?
Not able to get the questions from discord you shared please help.
explane this topic
skewness and kurtoswis
Data analysis ka job ka vídeo banaye sir plz
Sir live data ko keyse normalise kore
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.
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
🙏🙏