Skip to content

README.md

Latest commit

 

History

History
18 lines (10 loc) · 875 Bytes

README.md

File metadata and controls

18 lines (10 loc) · 875 Bytes

Laboratories Machine Learning

Laboratory 1: Exploratory data analysis

This laboratory consisted in realizing an EDA to a protate cancer dataset.

To see the results obtained visit Laboratory_1.

Laboratory 2: Supervised learning

This laboratory consisted in using different supervised learning algorithms to solve the classification of red wine based on the quality. The algorithms selected where Support Vector machine (SVM), k-Nearest Neighbors (kNN), Random Forest, Gaussian Processes and XGBoost.

To see the results obtained visit Laboratory_2.

Credits