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.
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.