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Data Science - Parts Demand Case Study with Linear Regression Application in Python

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DS-Case-Study

Data Science - Parts Demand Case Study with Linear Regression Application in Python Using scikit-learn

This repository contains the analysis of a parts demand case study.

1

Goals

  • Summarize and examine the trends of car parts used in repairs.
  • Predict next year’s parts demand using linear regression (forecast at part level and weekly level).
  • Build a systematic solution to help predict thousands of other parts.