For this Data Science Course capstone project, I investigate how weather conditions, area type (urban vs. rural), and traffic congestion impact Amazon delivery times.

By sourcing a deliver attribute relevant dataset, I this clean and explore the data, develop visualizations to identify key trends, and create a numerical model to predict delivery times.

I apply model validation techniques and provide explanatory visuals to highlight insights, aiming to understand how these factors contribute to delivery delays.

Introduction : Overview of the problem and hypothesis

Data Sourcing : Dataset description and relevant features

Data Cleaning : Data preprocessing methods

Exploratory Data Analysis: Visualizing trends and relationships, key visuals to explain insights

Model Development : Chosen model and prediction approach

Model Validation : Validation techniques and results

Key Insights : Summary of findings and implications

Conclusion and Next Steps : Recap and future recommendations