Session 43 - Central Limit Theorem | DSMP 2023
Channel: CampusX
Date: 2023-03-28

Code - https://colab.research.google.com/drive/1W--4mte3uaDD8rReLAt4OWEoLXrb5Ij7?usp=sharing

https://www.kaggle.com/campusx/titanic-clt

Z-table - https://www.ztable.net/

Session 43 Notebook PDF : https://drive.google.com/file/d/14izghg0Aw5v3ed1rq9xEHZVcG_x0hMD-/view?usp=share_link
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Enroll in this Programme from our Website - https://learnwith.campusx.in/

Course Website Link - https://campusx1040.graphy.com/s/preview/courses/CampusX-Data-Science-Mentorship-Program#6376dbd8e4b065a4cadac4db

YouTube Playlist - https://www.youtube.com/playlist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z
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| **Chapters** |
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00:00:00 - Session start
00:03:21 - Agenda of this session
00:05:35 - Bernouli Distribution
00:15:31 - Binomial Distribution
00:22:42 - Solve some problems using binomial distribution
00:27:26 - PDF formula for binomial distribution
00:31:06 - Graph of PDF for the binomial distribution
00:33:36 - Binomial Distribution in Code
00:39:38 - Criteria of the Binomial Distribution
00:40:32 - Applications of Binomial Distribution in Data Science
00:45:35 - Sampling Distribution
00:54:32 - Why Sampling Distribution is important?
00:57:05 - Intuition of Central Limit Theorem (CLT)
01:06:57 - Central Limit Theorem in code
01:14:08 - Case Study 1 - Fare of Titanic Dataset
01:32:00 - Doubt clearance
01:37:51 - Assumptions of making samples
01:38:33 - Case Study 2 - What is the average income of Indians?
01:42:27 - Session end & Doubt clearance


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