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    Working on: handson-ml2
    • Home
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    • Actuarial
      • Exam 5
        Ratemaking & Reserving
          • All about Data
            • Large Events & Anamolies
              • One time changes
              • Trends
          • Development
            • Introduction
            • Univariate Risk Classification
            • Multivariate Risk Classification
          • Special Classification
            • Chain Ladder / Dev
          • Berquist-Sherman
      • Exam 7
        Advanced Estimation of Claims Liabilities
        • Methods
          Advanced Reserving
          • Chain Ladder Reserve Variance Estimation
    • Economics
        • 303 SKG
          Economics of Growth & Development
          • Growth & Development
            • Harrod Domar Growth
            • Neo classical or Solow's Growth
            • 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
            • 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
            • 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
            • 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
            • Lecture 11 Utility
            • Lecture 12 Types of Utility
            • Lecture 13 Bounded Rationality & Heuristics
            • Lecture 14 Biases
            • Lecture 15 Heuristics & Framing Effects
            • 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
            • 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
            • 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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      • How to start?
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          • Custom Classes in sklearn
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