2.2 - Time Series
This directory contains 6 workflows.
P2.2.1
This workflow accesses, preprocesses, and visualizes time series (energy consumption) data by - converting time values from String to Date&Time - aligning […]
P2.2.2
Simple auto-regressive model to predict a time series. - Simple means just raw data: no seasonality correction, stationarity assumption. - auto means usage […]
P2.2.3
Comparison of auto-regressive model settings to predict a time series. - Simple means just raw data: no seasonality correction, stationarity assumption. - […]
P2.2.4
Comparison of ARIMA model settings to predict a time series. - Observe predictive performance for different settings
P2.2.5
<p>Time Series Analysis<br><br>Summary:<br>In this exercise we will load the data file for cleaning, filtering, aggregating, and visualizations with […]