https://github.com/computingvictor/timeseriesforecasting_practices

Evaluation Practices done for the Time Series Forecasting subject
https://github.com/computingvictor/timeseriesforecasting_practices

apple cunef darts forecasting jupyter-notebook python rossmann-store-sales sktime stackoverflow time-series time-series-analysis timeseries

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Evaluation Practices done for the Time Series Forecasting subject

• Host: GitHub
• URL: https://github.com/computingvictor/timeseriesforecasting_practices
• Owner: ComputingVictor
• Created: 2023-01-01T11:48:05.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-17T13:08:03.000Z (over 1 year ago)
• Last Synced: 2024-01-29T16:34:22.338Z (9 months ago)
• Topics: apple, cunef, darts, forecasting, jupyter-notebook, python, rossmann-store-sales, sktime, stackoverflow, time-series, time-series-analysis, timeseries
• Language: Jupyter Notebook
• Homepage:
• Size: 8.35 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Time Series Forecasting Practices



## About the project

This repository will include the evaluable practices of the subject 'Time Series Forecasting' belonging to the Master in Data Science at CUNEF during the academic year 2022-2023.

## Built with 

- Python 3.10

- Jupyter Notebook

- Visual Code

- Sktime

- Darts

## Content of the repository

- `Practice 1- Apple`: In this first practice we must predict Apple's sales, using quarterly data from Q1 1990 to Q2 2021 obtained from Bloomberg. In addition, we have the latest report by Barclays Research with predictions for the next quarters up to 2022 to help us with the process. We will also have to solve specific objectives.

- `Practice 2- StackOverflow`:  In this practice we will carry out an analysis of the evolution of the questions related to 'Matlab', we will test different models and we will build a predictive model of time series with the one that has given us the best result. In addition, we must solve some specific objectives.

- `Practice 3 (Final)- TOSCOS`:  This is the final practice of the subject, valuable as an exam. It's similar to the Rossman Store Sales exercise of Kaggle, but with synthetic values.

## Contact

Víctor Viloria Vázquez - 

Project Link: 

LinkedIn - 

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