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holt-winters-forecasting

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The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

  • Updated Jun 4, 2021
  • Jupyter Notebook

Forecast the Airlines Passengers. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

  • Updated Aug 27, 2022
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Keeping Inventory of spare in various service centre to the market demand is always a challenge as most service centres spends significant amount in spare parts inventory costs. In spite of this, availability of spare parts is been one of the problem areas.

  • Updated Feb 24, 2024
  • Jupyter Notebook

P-140 Air Quality forecasting(CO2 emissions) Business Objective: To forecast Co2 levels for an organization so that the organization can follow government norms with respect to Co2 emission levels. Data Set Details: Time parameter and levels of Co2 emission

  • Updated Dec 5, 2022
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Program Exercises in R Language from book: "Forecasting, Time Series and Regression: An Applied Approach" / Ejercicios resueltos en R del libro "Pronosticos, Series de tiempo y Regresión: Un enfoque práctico" de Bruce L. Bowerman, Richard T. O´Connell, Anne B. Koehler, ISBN: 9789706866066 , Cuarta edición, Editorial: Thomson Año 2007

  • Updated Dec 12, 2023
  • Jupyter Notebook

Business Problem: Oil price may fluctuate time to time based on more factors technical economical and natural as well as political so the forecasting may not be influenced by these some unexpected scenarios like Geopolitical issues (e.g.: War and Oil price Cap).

  • Updated Jul 23, 2023
  • Jupyter Notebook

Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

  • Updated Aug 27, 2022
  • Jupyter Notebook

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