Actuarial Science
| 1. Survival Analysis | |
|---|---|
| 1.1 Introduction | |
| 1.2 Basics of actuarial symbols | |
| 1.3 Survival analysis in R | |
| 1.4 Hong Kong life table | |
| 2. Insurance | |
|---|---|
| 2.1 Whole life insurance | |
| 2.2 Term life insurance | |
| 2.3 Endowment insurance | |
| 3. Annuity | |
|---|---|
| 3.1 Life annuity | |
| 3.2 Annuity mathematics | |
| 3.3 Annuity and insurance | |
| 4. Premium and Reserve | |
|---|---|
| 4.1 Calculation of insurance premium | |
| 4.2 Calculation of net premium reserves | |
| 1. Data Analytics | |
|---|---|
| 1.1 Data wrangling (part 1) | |
| 1.2 Data wrangling (part 2) | |
| 1.3 Supervised and unsupervised learning | |
| 1.4 Classification | |
| 2. Regression Analysis | |
|---|---|
| 2.1 Assumptions of linear regression | |
| 2.2 Simple and multiple linear regression | |
| 2.3 Simple linear regression | |
| 2.4 Multiple linear regression | |
| 2.5 Multivariate analysis | |
| 3. Decision Trees | |
|---|---|
| 3.1 Important things to know about decision tree | |
| 3.2 The Gini impurity index | |
| 3.3 Random forest | |
| 4. Principal Component Analysis | |
|---|---|
| 4.1 Principal component analysis | |
| 4.2 Principal component analysis in R | |
| 5. Clustering Methods | |
|---|---|
| 5.1 Introduction to clustering | |
| 5.2 K-means algorithm | |
| 5.3 Optimization objective | |