The objective of this course was to:
- Gain familiarity with various data-driven analytical tools for informed decision-making.
- Develop expertise in unsupervised learning for clustering or dimensionality reduction in large datasets.
- Acquire skills in key statistical and supervised learning tools for classification and regression tasks.
- Utilize these models for making predictions, classifications, and drawing inferences.
- Learn to work with the R programming language.
It consited in two projects and a final test.
During this project the goal was to perform a data analysis on a dataset and perform PCA and Clustering in order to draw conclusions from it
During this second project the goal was to perform again a data analysis and perform a LDA analysis, followed by defining a multiple linear regression model and applying regularization to it.