1. 데이터 분석에서 각 단계별 목표

2. Statistics

3. Regression

4. Introduction of Time-series Analysis

5. Non-stationary to Stationary

6. Introduction of Stochastic Process

7. General Linear Process

8. Integrated Linear Process

9. Analysis Cycle for Linear Stochastic Process

10. Time-series with Machine Learning

11. Multivariate Linear Process

12. Non-linear Process

13. Classical Algorithms for Non-linear Process

14. Non-linear Process with Deep Learning

TODO

Similarity - Time Series

Reference

• FastCampus, 파이썬을 활용한 시계열 데이터 분석 A-Z 올인원 패키지 Online