1:07:50 there is a simple correction: if u use the limit concept at that point we can get the point we can get the number and that number is going to be the probability of that given point . Example:if we have to count the probability of stock price at every possible point which is present in the real line under a given interval of time the all time probability is not going to be zero . Thank u sir ..
is poisson distribution is PMF function or PDF function. According to the given graphs in 4th slides it seems poisson lies in PMF but later on in slide 8 and 10, you have used it in PDF. What is the reason behind it. please make it clear. Thank you
Hi Nitish sir , aaap aese hi video bante jana , mark my word campus X content is just too awesome , maine krish ji ka bhi sara video dekha hai , and statquest ka bhi stats ke liye sabse best playlist hai , time series analysis ke upar bhi sir video lekar aooo it will be really help full
At 1:17:08, you have assumed Poission distribution as pdf but, since it is specifically for discrete random variable, its pmf should have have been displayed
48:10 the condition says the sum of probabilities assigned should be 1, however in the case of 2 dice won't it change as probabilities for 7 will be highest whereas 2 and 12 is lowest
Does calculating probability density is important to learn for a data science? I don't think so, he should know about pdf,cdf,pmf but calculating is a part of deep statistics. Isn't it?
Sir in the end you answered a question where you said that histogram is not reliable . If we have a sample that is not accurately representative of the data , then the histogram will not work and PDF helps there. But our pdf is calculated after fitting our sample to either parametric function or non parametric function like kernel density . So how will pdf be any better in that case?
everyone is not like you, he also has to prepare material for us and prepare task and solutions and also has a life. For students as well everyone is not just a student people have jobs. 4 classes a week is fine.
@@rauhan_sheikh this way it will take lot more time than we think . Good content needs to go through our concepts regularly for learning. People wants to apply for jobs as soon as they feel confident in overall concepts and learning. Regular lecture will help us more I think.
@@LearnwithSaurabhNitTrichy Can you please think of others as well? Why so self centred? He has said this multiple time that there's a lot of work behind the scenes but apparently you only care about your regular videos. 🙂
one thing he not explain well Student Ask Question why we Devide by Total Number of Sum Ans: becuase we took Ratio so that bar Y Value remain in Ration not exceed up to 10000 if we dont dived Plot result will be the same please check and update me
can we declare him the best in this domain
he is sharukh khan in statics domain, his teaching style , just wow
Yes definitely agreed
😃😃😃
sir you are one of the best teachers please continue teaching and bring deep learning course as well after this.
Statistics was never easy before watching this video 🙌
Beautiful explanation of Density Estimation. Fantastic session as usual. Just one correction - Poisson is a discrete distribution, not a continuous.
sir i have no words to express about your contact that way you studied about sir 1 day you become recognised by every asparint which come in data
You are highly underrated. I have seen other lectures of pdf and understood 1% of what you taught in one video. Thanks from Bangladesh ❤.
wow really great explanation in a simple way to make the object crystal clear .....u are really a awesome mentor ...thank u very much.
Sir, aap Indian student k samajhane k tarike KO achchhe se samajhte ho❤
You are just great, your teaching style is very good
the man has got balls for data science
The way you explained the difference between probability and probability density usage in PDF is awesome sir!
This is by far his most informative and complicated video
Sir go into as much depth as you can, audience will adjust.
Thank you for the detail explanation and keeping it simple.
Sir you really are a master when it comes to explaining complex terms into simpler forms.. hats off sir...
Hello bro!
Thanks a ton. Undoubtedly the best explanation about these topics we have on the CZcams
Wow ! What a great lecture !
1:07:50 there is a simple correction: if u use the limit concept at that point we can get the point we can get the number and that number is going to be the probability of that given point .
Example:if we have to count the probability of stock price at every possible point which is present in the real line under a given interval of time the all time probability is not going to be zero . Thank u sir ..
One of the best explanation of this topic. Nobody can beat this guy of content
Can you create video on shap values and their use in interpreting machine learning models
Superb Explanation
sir you are the best teacher i have ever seen
is poisson distribution is PMF function or PDF function. According to the given graphs in 4th slides it seems poisson lies in PMF but later on in slide 8 and 10, you have used it in PDF. What is the reason behind it. please make it clear. Thank you
Awesome video which covers all the main topics , explained very easily.
thank god finally someone explained in detail
why we need distribituions of data function
Amazing coursee very very helpful specially for beginners❤❤
Phenomenal explanation.
Thank you!!
Dear sir you are doing a great job.fantastic work.👍
Hi Nitish sir , aaap aese hi video bante jana , mark my word campus X content is just too awesome , maine krish ji ka bhi sara video dekha hai , and statquest ka bhi stats ke liye sabse best playlist hai , time series analysis ke upar bhi sir video lekar aooo it will be really help full
Thank You Very Much Sir.
At 1:17:08, you have assumed Poission distribution as pdf but, since it is specifically for discrete random variable, its pmf should have have been displayed
48:10 the condition says the sum of probabilities assigned should be 1, however in the case of 2 dice won't it change as probabilities for 7 will be highest whereas 2 and 12 is lowest
Amazingly explained!!!!!!
Such a high quality content❤ they don't even teach in such highly paid batches
great way of learning keep shining and rising sir🙂
I think, I should forward this lecture to my course instructor😃
Thank you sir python pe dikhane ke liye
Sir you the best
thanks you so much sir🙏🙏 , no one can explain like you
thank you so much,
Refer to GPT's Exponential vs Uniform distribution chat for more clarity and notes on Probability density
You're the best
great explanantion
Sir, in the code of KDE why are we fitting the data? In theory there was no mention of fitting the data.
Sir if you have taken any batch classe on deep learning before you can upload those vidoes.Because we got stuck in deep learning and nlp.
Yes he has check his playlist on deep learning bro
@@uday7016 ok
@@mdriad4521 have u subscribed to sir course?
@@uday7016 No
Hii sir can you teach web scraping in detail for freelancing I saw your previous web scraping video but it's not enough
Bro just made a degree level course for data science
clear
Nice look
thank u
Does calculating probability density is important to learn for a data science? I don't think so, he should know about pdf,cdf,pmf but calculating is a part of deep statistics. Isn't it?
I am regretting for not learning from you earlier 🤕
Sir in the end you answered a question where you said that histogram is not reliable . If we have a sample that is not accurately representative of the data , then the histogram will not work and PDF helps there. But our pdf is calculated after fitting our sample to either parametric function or non parametric function like kernel density . So how will pdf be any better in that case?
Brother! have you got the answer?
You are videos are very clear and ueful but teach in english
Thanks for lecture. But please give daily lectures atleast
everyone is not like you, he also has to prepare material for us and prepare task and solutions and also has a life. For students as well everyone is not just a student people have jobs. 4 classes a week is fine.
@@rauhan_sheikh this way it will take lot more time than we think . Good content needs to go through our concepts regularly for learning. People wants to apply for jobs as soon as they feel confident in overall concepts and learning. Regular lecture will help us more I think.
@@LearnwithSaurabhNitTrichy Can you please think of others as well? Why so self centred? He has said this multiple time that there's a lot of work behind the scenes but apparently you only care about your regular videos. 🙂
@@rauhan_sheikh Have u subscribed to sir's course?
@@uday7016 yes!
Where were you all my btech time sir 😭✨
HI sir at 1 hr:28 mins, the sample is having 1000 values right? SO the population is having more than sample is it?
Yes
1:06:27
Hello sir I am from Pakistan I want enroll for dsmp how can i enroll ?
sir ye lecture data Analytics k lye hai ya machine learning k lye
Statistics is needed for data analytics as well so yes it is very useful for both .
43:00
1.5
one thing he not explain well Student Ask Question why we Devide by Total Number of Sum Ans: becuase we took Ratio so that bar Y Value remain in Ration not exceed up to 10000 if we dont dived Plot result will be the same please check and update me
1:41:12
1:48:57
1:25:55
1:18:07