Market-research-for-an-agri-food-company

1. Data gathering using PESTEL criteria.
2. PCA for feature reduction and to avoid potential multi-colinearity issues.
3. Machine learning techniques (KMeans and hierarchical clustering) to create coherent groups.

Processed data:

• Food availability 2017
• Population 2000 - 2018
• Political Stability 2000 - 2018
• Average exchange rate 2017
• GDP and GDP per capita 2017
• Number of KFC and McDonalds Stores per country
• Distance (Paris to country centroid)

Technologies Used

• Python 3.9.7 in Jupyter Notebook