The objective of this project is to explore and analyze purchasing patterns recorded in the Online Retail Dataset. I aim to apply multivariate analysis techniques to: Identify customer groups based on purchasing behaviors. Explore the relationship between different variables, such as quantity purchased, price, and purchase frequency. Discover product associations to recommend items frequently bought together. To achieve this, we use multivariate analysis techniques such as: Discriminant Analysis Principal Component Analysis (PCA) Cluster Analysis

Raport 5. Regularyzacja

We are going to identify clusters in the ‘mtcars’ dataset and experiment with different types of bond method. We aim to develop an understanding of how the different bond types affect the solution(s).

Analysis of no-show rate

Analysis of the iris dataset using kmeans clustering. Is 3 the magic number?

Teste de um dashboard para o projeto envolvendo dados de clima e saúde.

Asset performance