Session 40 - Probability Distribution Functions - PDF, PMF & CDF | DSMP 2023

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Session 40 - Probability Distribution Functions - PDF, PMF & CDF | DSMP 2023-------------------------------------------------------------------------------------------------------------------------------------------------------

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| **Chapters** |
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00:00:00 - Session start
3:54 Plan of the session
4:37 Random Variables
8:18 Types of random Variables
10:50 Probability Distributions
17:24 Probability Distribution Functions
23:24 Types of Probability Distribution Function
33:06 Doubts

34:22 Probability Distribution Functions cont..
39:02 Probability Mass Function (PMF)
50:43 Doubt
52:02 Cumulative Distribution Function(CDF) of PMF
59:59 Doubt

1:01:13 Probability Density Function (PDF)
1:14:16 Doubt
11:18:22 Density Estimation
1:23:00 Parametric Density Estimation
1:36:16 Doubt
1:37:27 Non-Parametric Density Estimation (KDE)
1:40:40 Kernel Density Estimate(KDE)
1:56:07 Doubts
1:57:28 Cumulative Distribution Function(CDF) of PDF.
2:04:48 Doubt End session

#datanalytics #Stats #statistics #SQL #descriptivestatistics #campusx #dsmp2023
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Real teacher by all means.. He is doing excellent in this domain. A man with perfection. ❤

VikasSingh-ob
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can we declare him the best in this domain

THEDATAVED
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sir you are one of the best teachers please continue teaching and bring deep learning course as well after this.

rauhan_sheikh
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Statistics was never easy before watching this video 🙌

AltafAnsari-tfnl
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Nobody has covered it so extensively in depth ..very insightful and eye opener session

SuperRia
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Because of nitish sir, I can be a successful data scientist. May god give him a lot of success in his life.

Mohitkumar-unix
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Sir, aap Indian student k samajhane k tarike KO achchhe se samajhte ho❤

rajkumarpanditYouTub
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wow really great explanation in a simple way to make the object crystal clear are really a awesome mentor ...thank u very much.

dilipgyawali
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You are just great, your teaching style is very good

santanusarangi
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thank god finally someone explained in detail
why we need distribituions of data function

rajgurubhosale
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Beautiful explanation of Density Estimation. Fantastic session as usual. Just one correction - Poisson is a discrete distribution, not a continuous.

shripaddeshpande
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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

Abhishek-qwny
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You are highly underrated. I have seen other lectures of pdf and understood 1% of what you taught in one video. Thanks from Bangladesh ❤.

oofyxl
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Thank you for the detail explanation and keeping it simple.

subinsudhakar
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Sir you really are a master when it comes to explaining complex terms into simpler forms.. hats off sir...

Ram_jagat
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Amazing coursee very very helpful specially for beginners❤❤

aksharasharma
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Thanks a ton. Undoubtedly the best explanation about these topics we have on the Youtube

mdashrafulalam
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Awesome video which covers all the main topics, explained very easily.

preethibs
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the man has got balls for data science

siddheshdhanawade
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This is by far his most informative and complicated video

ghostofuchiha
welcome to shbcf.ru