I can imagine the hard work and studies required to explain this concept in such depth. You are one of the finest teachers. Thanks a lot for your contribution to Data Science Community.
I have no words to explain, how great this lecture is and what a good teacher u r, i hv gone through many videos on statistics and ML and trust me CampusX videos are the best.
Can you please make a separate video on Inferential statistics - all about Hypothesis testing, statistical test, and all. This video will be very much needed. Please make a separate session on this mentioned topic. Thanks!
44:58 a function is said to be continuous in a given domain if all the point in domain there exist a left hand and right-hand limit exist and they are equal but in point a and b left hand limit at a is 0 and right-hand limit is (1/(b-a)) at a and at point b the right-hand limit is (1/(b-a)) and left hand limit is 0 so it is a not a continuous distribution, Thank you.
Sir, you are amazing. Even during the commenting, I am thinking that I am a part of the dataset which follows a log distribution, as you mentioned that the distribution of comment lengths in this section is log-transformed.
as a data scientist you should have the domain knowledge of the data you are working on and based on that you can choose what type of algo you can use, (you should also know the workings of algorithms so you could fine tune it ,if it does not perform well)
Hi sir While you are explaining pareto distribution you told that y=k*(x^a) which is increase graph at 1:04:59 Could you please check it once Because the orginal graph is decreasing
But karna kiya hy in sab lectures ka jo app padha rhy ho.. practical use kiya hy? Yh to bta dete app k yh kara to kyun kara. Everyone on TH-cam is wasting time. Nobody gives answers of WHY...
I can imagine the hard work and studies required to explain this concept in such depth.
You are one of the finest teachers. Thanks a lot for your contribution to Data Science Community.
I have no words to explain, how great this lecture is and what a good teacher u r, i hv gone through many videos on statistics and ML and trust me CampusX videos are the best.
sir You are doing great work, i can't imagine how hard work is required for doing this. Just Hats off sirrr
aapke muskan ki chamkan barkarar rahee ✨✨
your lectures are pure gem💎 for ml students, thank you so much🙏🙏🙏🙏
Can you please make a separate video on Inferential statistics - all about Hypothesis testing, statistical test, and all. This video will be very much needed. Please make a separate session on this mentioned topic. Thanks!
this is pure gold
Nitish sir please anova and chi square wala bhi open kardo sab k liye. Itna acha content kahi nhi mil Raha merko..per paise nhi h
did you find any alternative?
krish naik sirki playlist se karlo vo topics
great lecture sir ji .. as always ❤❤❤❤❤❤
Thank You Sir. Great Session.
44:58 a function is said to be continuous in a given domain if all the point in domain there exist a left hand and right-hand limit exist and they are equal but in point a and b left hand limit at a is 0 and right-hand limit is (1/(b-a)) at a and at point b the right-hand limit is (1/(b-a)) and left hand limit is 0 so it is a not a continuous distribution, Thank you.
Aap ka video better then other
Sir, you are amazing. Even during the commenting, I am thinking that I am a part of the dataset which follows a log distribution, as you mentioned that the distribution of comment lengths in this section is log-transformed.
Tera dimag jyada na laga. Bacha ke rkh khatam ho jayega
Thank you!
1:36:45 - additive to multiplicative scale ??
Voice is there ...no worries sir
Aaaj kurtosis samjh mein aaya hai.
How can we get the normal distribution percentage that this distribution is normally distributed by how much ?
thank u
Kaggle ke dataset ke description ko kaise samjhe or kaise work kare uspe kon se condition me kon sa algorithm use kare
as a data scientist you should have the domain knowledge of the data you are working on and based on that you can choose what type of algo you can use, (you should also know the workings of algorithms so you could fine tune it ,if it does not perform well)
Sir, can I get this OneNote file
Hi sir
While you are explaining pareto distribution you told that y=k*(x^a) which is increase graph at 1:04:59
Could you please check it once
Because the orginal graph is decreasing
In Pareto distribution, since a =1, graph should be like y = k*x but in graph, it is something like y= 1/x. Could you please explain this why?
1:48:52
1:56:50
Nice work. Is your Data Science course done and dusted?
Sir what benifits will i get if i join campusx paid subscription?
❤
🎉🎉🎉🎊🎊🎊
Sir kaggle ke dataset project ke sath working video daliye
Make vidios on data science projects
There is no sound in this video, kindly check, thank you!
check your speaker
hi suman,
please share 42 session pdf notes
Sir please pdf vedio k 1hr me daal dia kro,
Revise krna rehata hai
provide one note PDF please ????
love from pakistan
Sir voice not coming
Wait video is being processed
Are voice to record hi nahin hua😢
Wait the video is being processed
But karna kiya hy in sab lectures ka jo app padha rhy ho.. practical use kiya hy?
Yh to bta dete app k yh kara to kyun kara. Everyone on TH-cam is wasting time. Nobody gives answers of WHY...
Thank You Sir. Great Session.
Kaggle ke dataset ke description ko kaise samjhe or kaise work kare uspe kon se condition me kon sa algorithm use kare
Kaggle ke dataset ke description ko kaise samjhe or kaise work kare uspe kon se condition me kon sa algorithm use kare
Kaggle ke dataset ke description ko kaise samjhe or kaise work kare uspe kon se condition me kon sa algorithm use kare