Clustering Pumps [mlw4]

This is the fourth and last assignment of Machine Learning for Data Analysis by Wesleyan University on Coursera. My assignment diverges quite a bit from the approach taken by the instructor since I wanted to have only three clusters to determine pumps functionality (functional, functional needs repair, and Continue reading “Clustering Pumps [mlw4]”

Clustering Pumps [mlw4]

The forest and the pump! [mlw2]

The random forest algorithm is the topic of the second assignment of Machine Learning for Data Analysis by Wesleyan University on Coursera. This assignment extends the previous one because besides from using random forest instead of decision trees I included more variables than the previous assignment. In this analysis I included also Continue reading “The forest and the pump! [mlw2]”

The forest and the pump! [mlw2]