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Course Details - Classification-III
Instructor:
Simerdeep Singh
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Topics
We will cover in detail the framework needed to analyze categorical data. We will use R and Mathematica for analysis.
Sample of Classification-III
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1 Category
1.1 Group
1.1.1 Course Information
1.1.1.1 Teacher
1.1.1.2 Learning Goals
1.1.1.3 YouTube Playlist
1.1.1.4 Prerequisites
1.1.1.5 Truths
1.1.1.6 Feedback
1.1.1.7 Financial Support
1.1.1.8 Best Wishes
1.1.1.9 Care for Children
1.1.1.10 Review
1.1.2 Binomial Distribution
1.1.2.1 Categorical Variables
1.1.2.2 Binary Variables
1.1.2.3 Probability Mass Function
1.1.2.4 Notation
1.1.2.5 Truths
1.1.2.6 Exercise
1.1.2.7 Exercise
1.1.2.8 Bernoulli Trials
1.1.2.9 Binomial Distribution
1.1.2.10 Truths
1.1.2.11 Exercise
1.1.2.12 Exercise
1.1.2.13 Exercise
1.1.2.14 Exercise
1.1.2.15 Exercise..Pending..stirling proof give here
1.1.2.16 Exercise..Pending
1.1.2.17 Exercise..Pending
1.1.2.18 Maximum Likelihood Estimate
1.1.2.19 Observed Probability, Another Variable
1.1.2.20 Truths
1.1.2.21 Exercise..Pending
1.1.2.22 Exercise..Pending
1.1.2.23 Confidence Interval
1.1.2.24 Wald Confidence Interval
1.1.2.25 R Code
1.1.2.26 Mathematica Code
1.1.2.27 Confidence Interval Coverage
1.1.2.28 Mathematica Code
1.1.3 Logistic Regression
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