The goal of this project is to use data analysis to uncover actionable insights that align with core business objectives. By applying the CRISP-DM (Cross-Industry Standard Process for Data Mining) framework, the analysis will methodically examine the provided dataset and generate value through meaningful visualizations and practical recommendations

use pca, logistic pca, autoencoder and vae to discover pattern in freight activity datasets

Comprehensive analysis to provide some answers on Freight and port operations around Africa. What are top 3 destinations of ships outside Africa? Which route (freight port) experience the highest growth in recent years? and many more questions like rate are attended to in the project.