Time series and Survival analysis in Python

Material from the great IBM MOOC on time series forecasting with python available through Coursera

Syllabus

1. Introduction to Time Series Analysis

1.1 Additive, multiplicative and pseudo additive time series

1.2 Decomposition models

2. Stationarity and Time Series Smoothing

2.1 Stationarity and Autocorrelation

2.2 Smoothing methods

3. ARMA and ARIMA models

3.1 ARMA

3.2 ARIMA and SARIMA

4. Deep Learning and Survival Analysis Forecasts

4.1 Deep Learning approach via RNN and LSTM with Keras

4.2 Survival Analysis and Censoring