https://github.com/razielar/coursera_time_series_forecasting

https://github.com/razielar/coursera_time_series_forecasting

Last synced: 3 months ago
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• Host: GitHub
• URL: https://github.com/razielar/coursera_time_series_forecasting
• Owner: razielar
• Created: 2021-11-30T10:23:04.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-11-04T09:44:24.000Z (over 1 year ago)
• Last Synced: 2025-01-11T14:48:39.919Z (4 months ago)
• Language: Jupyter Notebook
• Size: 20.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Time series analysis

## Week 1

### 1.1) Introduction to Forecasting and Time series analysis

### 1.2) Time series Decomposition

## Week 2

### 2.1) Stationarity and Autocorrelation

### 2.2) Time series Smoothing

## Week 3

### 3.1) ARMA models

### 3.2) ARIMA and SARIMA models

### 3.3) Facebook Prophet

## Week 4

### 4.1) Deep Learning for Forecasting 

RNN and LSTM

# Survival analysis

Surviving analysis main ideas such as: survival function, hazard rate, Kaplan-Meier Curve, and survival regression approachas such as: **Cox proportional Hazard model** (CPH model), most common parametric model.