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The aim of the project is to provide a reference container guide of the numerous broad topics in the field of Time Series Analysis.

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kinhthu195/Time-Series-Analysis-and-Forecasting-with-Python

 
 

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Time-Series-Analysis-with-Python

I used the following data sets for the project

Google Stocks Data

Humidity in different world cities from the Historical Hourly Weather Data 2012-2017 Dataset

Microsoft Stocks Data

Pressure in different world cities from the Historical Hourly Weather Data 2012-2017 Dataset

The Scope of the Project

1 Introduction to date and time

  1. Finance and Statistics

  2. Time series decomposition and Random Walks

  3. Modelling using statsmodels AR, MA, ARMA, ARIMA, VAR and Dynamic Factor Models

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The aim of the project is to provide a reference container guide of the numerous broad topics in the field of Time Series Analysis.

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  • Jupyter Notebook 100.0%