Unsupervised methods in machine learning
| Category | Personal-Academic Project |
|---|---|
| Summary | In this project we will work with unsupervised machine learning models, with special emphasis on the modification of parameters to refine the results. |
| Tools |  RStudio,  GitHub,  Spreadsheets,  Tableau |
| Repository Link | https://github.com/Kamaranis/Unsupervised-methods-in-machine-learning.git |
| Skills |  R,  Algorithms,  Markdown,  Git |
| Type | Data Mining |
The objectives are generation, interpretation, and evaluation of a k-means clustering model and a DBSCAN model. In doing so, we will not overlook the phases of data preparation, model quality, and initial knowledge extraction.