gravatar

miriamc

Miriam Cardozo

Recently Published

Unsupervised Machine Learning techniques for market segmentation
he aim of this project is to obtain the segmentation of products based on the revenue generated in different regions in order to understand the market trends. The segmentation will help the company to devise marketing strategies and promotional schemes to position the right product according to the preference of the consumers in any given segment.
Cardiovascular heart disease analysis in R
Risk factors for cardiovascular heart disease The overall goal is to predict the occurrence of cardiovascular disease conditions and to identify the most important risk factors. For this purpose, different classification ML algorithms were considered (logistic regression, decision tree, random forest and k-nearest neighbor).