QuantLet/pyTSA

Book and material for the course "Time series analysis with Python" (STA-2003)

Simple python example on how to use ARIMA models to analyze and predict time series.

[Advanced] Practical Statistical Inference and Machine/Deep Learning for Time Series Forecasting

Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, such as that on Medium. Those for the book are mostly originally written for the RATS time-series analysis system, which is commercial software, so I have begun porting the code to Python Notebooks written for Google's colab https://colab.research.google.com. This is mostly what I will post here. The figures for the book will be generated by notebooks titled "Section n.n.n Section Title" etc.

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

ARIMA is a Java open source project dedicated in the study model of ARIMA, AR, MA

Awesome time series forecasting papers and codes

Foundation Models for Time Series

GitHub repository for deep forecasting courses owned and maintained by prof. Jahangiry