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Hursh Gupta
Working on: handson-ml2
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2025
2023
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Exam 5
Ratemaking & Reserving
Exam 5
Basics
Basics
All about Data
Ratemaking
Ratemaking
Adjustments to Data
Adjustments to Data
Large Events & Anamolies
On level
On level
One time changes
Trends
Development
Classfication
Classfication
Introduction
Univariate Risk Classification
Multivariate Risk Classification
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Reserving
Reserving
Development Techniques
Development Techniques
Chain Ladder / Dev
Berquist-Sherman
Exam 7
Advanced Estimation of Claims Liabilities
Exam 7
Methods
Advanced Reserving
Methods
Chain Ladder Reserve Variance Estimation
Economics
Economics
PECO
PECO
303 SKG
Economics of Growth & Development
303 SKG
Growth & Development
Traditional Growth Theories
Traditional Growth Theories
Harrod Domar Growth
Neo classical or Solow's Growth
Modern Growth Theories
Modern Growth Theories
MRW
Learning by Doing
Romer Endogenous Growth Model
AK Model
Lucas Model
Social and Institutional Aspects of Development
Theories of Underdevelopment
Sectorial Aspects of Development
Misc
Misc
Fei Rami's Model
Harris Torado
Harrod Domar Growth (old)
Lewis
Market Failure
Modern Growth Theories
1 Growth & Development
Solow's Growth
Traditional Growth Theories
304 RBN
Behavioral Economics & Finance
304 RBN
Week 1
Week 1
Lecture 1 BE What and Why
Lecture 2 BE in Relation to other Sciences & Economics
Lecture 3 Evolution of BE
Lecture 4 The Neoclassical Tradition An Introduction
Lecture 5 Methodology Types of Empirical Studies
Week 2
Week 2
Lecture 6 Intro to Motivation and Hierarchical Needs
Lecture 7 Achievement and Craftmanship Driving Forces in Economic Behavior
Lecture 8 Social Drivers of Economic Decisions
Lecture 9 The Standard Model in Neoclassical Economics
Lecture 10 Axioms & Assumptions of NM
Week 3
Week 3
Lecture 11 Utility
Lecture 12 Types of Utility
Lecture 13 Bounded Rationality & Heuristics
Lecture 14 Biases
Lecture 15 Heuristics & Framing Effects
Week 4
Week 4
Lecture 16 Menu Effects
Lecture 17 A few effects & Choice Architecture
Lecture 18 Nudges
Lecture 19 Fundamental of Probability Theory
Lecture 20 Bayesian Updating and Confirmation Bias
Week 5
Week 5
Lecture 21 Prospects & Risk Attitude
Lecture 22 Risk Attitude & Axioms of EUT
Lecture 23 Other Axioms & Violations of EUT
Lecture 24 Anomalies of EUT & Prospect Theory
Lecture 25 Prospect Theory Evaluation
Week 6
Week 6
Lecture 26 The Value Function
Lecture 27 The Weighting Function
Lecture 28 Cumulative Prospect Theory I
Lecture 29 Cumulative Prospect Theory II
Lecture 30 Criticisms of Prospect Theory
ML
Machine Learning
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Books
Books
Handson ML
Handson ML
E2E ML Project
Classification
Training Models
Support Vector Machines
Decision Trees
Ensemble Learning & Random Forests
Dimensionality Reduction
How to start?
References
References
Statistical techniques
Statistical techniques
K-means clustering
Sklearn & Pandas
Sklearn & Pandas
Custom Classes in sklearn
Package Notes
Scikit Learn Notes
Songs
Songs that clicked
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Actuarial Science
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September 24, 2025
in
Actuarial Science
5 min read
CAS Summer Program
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