Time-series-analysis-in-Python

I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.

Index2018.csv is the dataset used for time series analysis in this project

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
0. Updating The Dataset.ipynb		0. Updating The Dataset.ipynb
1. Introduction to Time Series.ipynb		1. Introduction to Time Series.ipynb
10. The GARCH model.ipynb		10. The GARCH model.ipynb
11. Auto ARIMA.ipynb		11. Auto ARIMA.ipynb
12. Forecasting.ipynb		12. Forecasting.ipynb
13. Business Case.ipynb		13. Business Case.ipynb
2. Creating a Time Series Object in Python.ipynb		2. Creating a Time Series Object in Python.ipynb
3. Working with Time Series in Python.ipynb		3. Working with Time Series in Python.ipynb
4. Analyzing prices using the AR model.ipynb		4. Analyzing prices using the AR model.ipynb
5. Analyzing returns using the AR Model.ipynb		5. Analyzing returns using the AR Model.ipynb
6. The MA Model.ipynb		6. The MA Model.ipynb
7. The ARMA Model.ipynb		7. The ARMA Model.ipynb
8. The ARIMA and SARIMAX model.ipynb		8. The ARIMA and SARIMAX model.ipynb
9. The ARCH Model.ipynb		9. The ARCH Model.ipynb
Index2018.csv		Index2018.csv
README.md		README.md

vishnukanduri/Time-series-analysis-in-Python

Folders and files

Latest commit

History

Repository files navigation

Time-series-analysis-in-Python

About

Topics

Resources

Stars

Watchers

Forks

Languages