Table of Contents:

  1. Introduction
  2. Business Problem
  3. Why ML is required for solving this problem
  4. Source of my data
  5. Dataset
  6. Hypothesis
  7. Observations from EDA
  8. Model Approach
  9. Conclusion
  10. Future Work

I - Introduction:

This blog is about the M5 Forecasting a Time Series Problem approached using Python on Google Colab.

II - Business Problem:

Sales prediction is an important part of modern business intelligence. It can be an complex problem, especially in the case of lack of data missing and the presence of outliers. Sales can be considered as a Time Series. At present there are multiple Time Series models like ARIMA, SARIMA,SARIMAX, etc. …

Graham Fernando X

A fresher who is enthusiastic in Machine Learning using Python.

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