Time Series Analysis and Weather Forecast Project

Project Description

This project is an experimental Data Science side project using Python to conduct Time Series Analysis and Weather Forecasts.

Data Source

The data have been downloaded from the website http://rp5.ru/. The data are average daily temperatures collected by the weather station 2978 in Helsinki from January 2015 to September 2019.

Tasks

This project sets and addresses the following questions:

• How to conduct a Time-Series Analysis project from raw data?
• How to deal with a Time-Series data that has seasonality?
• Implementing the Moving Average to capture long-term fluctuations
• Parameter Selection for the model using GRID Search
• Make Weather Forecasts using the SARIMAX model
• How to diagnose the model performance using charts and other metrics (AIC score, RMSE value)?

Article

Medium post