CFA二级：定量分析

1 - Study Guide Changes and Introduction

2 - Linear Regression and Assumptions

3 - Analysis of Variance

4 - Hypothesis Testing and Limitations

5 - Multiple Linear Regression

6 - Violations of regression assumptions

7 - Model specification and Models with qualitative dependent variables

8 - Trend Model and AR Model

9 - MA and ARCH model

10 - Machine Learning and Machine Learning Algorithm Evaluation

11 - Supervised and Unsupervised Machine Learning Algorithms

12 - Neural Networks, Deep Learning Nets, And Reinforcement Learning

13 - Data preparation and wrangling

14 - Data exploration and Model training

15 - Scenario Analysis, Decision Trees, and Simulations

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