Machocho254/Markets-Research-and-Analysis-for-Carrefour-Kenya

This is the application of Unsupervised learning techniques to perform a basket analysis for the supermarket. # Markets-Research-and-Analysis-for-Carrefour-Kenya This is the application of Unsupervised learning techniques to perform a basket analysis for the supermarket. Data analysts at Carrefour Kenya and are currently undertaking a project that will inform the marketing department on the most relevant marketing strategies that will result in the highest no. of sales (total price including tax). This project has been divided into three parts where we shall explore a recent marketing dataset by performing various unsupervised learning techniques and later providing recommendations based on the insights. ## Part 1: Dimensionality Reduction This section of the project entails reducing the dataset to a low dimensional dataset using the t-SNE algorithm or PCA. Then analysing the data and providing insigts from the analysis. ## Part 2: Feature Selection This section requires feature selection to be performed through the use of the PCA and t-SNE. Provide insights on on the features that contribute the most information to the dataset.