Introduction to Statistical Learning

Bachelor’s Degree Programme in Philosophy, International and Economic Studies, Ca’ Foscari University of Venice.

Author
Affiliation

Aldo Solari

Department of Economics, Ca’ Foscari University of Venice

This is the website of the Introduction to Statistical Learning course of the Bachelor’s Degree Programme in Philosophy, International and Economic Studies, Ca’ Foscari University of Venice.

Teaching material

Required

Optional

Slides and lecture notes

The slides are meant to be used in HTML. However, if you really want to convert the HTML slides into pdf files, you can follow the instruction of the quarto documentation.

Topic Notes Slides Code
Statistical Learning Unit A Slides Unit A Code A
Lab 1 Lab 1 Code Lab 1
Exercises Exercises A - Conceptual Exercises A - Applied
Regression Unit B Slides Unit B Code B
Lab 2 Code Lab 2 Code Lab 2
Exercises Exercises B - Conceptual Exercises B - Applied
Classification Unit C Slides Unit C Code C
Lab 3 Code Lab 3 Code Lab 3
Exercises Exercises C - Conceptual Exercises C - Applied
Principal Components Analysis Unit D Slides Unit D Code D
Lab 4 Code Lab 4 Code Lab 4
Exercises Exercises D - Conceptual Exercises C - Applied
Clustering Unit E Slides Unit E Code E
Lab 5 Code Lab 5 Code Lab 5
Exercises Exercises E - Conceptual Exercises E - Applied

Exam

Rules

Mock exam

An example of written examination is provided at

Prerequisites

Knowledge of the topics covered in the course Introduction to Probability for Economics is highly recommended.

Office hours

To schedule a meeting, please write to aldo.solari@unive.it. Office hours is every DAY at HOUR.

Acknowledgments

The primary source of this website’s content is the textbook Gareth, Witten, Hastie and Tibshirani (2023). A few pictures have been taken from the textbook; in these cases the original source is cited.

All the mistakes still present are mine.