Skip to content
#

naive-forecasting

Here are 3 public repositories matching this topic...

Language: All
Filter by language

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.

  • Updated Mar 27, 2024
  • Jupyter Notebook

This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to assess and compare their forecasting accuracy. Detailed results and analyses are provided to delineate the strengths and weaknesses of each approach.

  • Updated Aug 11, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the naive-forecasting topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the naive-forecasting topic, visit your repo's landing page and select "manage topics."

Learn more