Data Analysis 2024-II
Dr. Isaac CAICEDO-CASTRO
Ph.D. (Univ. Grenoble Alpes), Ph.D. (Unal), M.Sc. (Uniandes), B.Sc. (UPB)
Professor at the University of Córdoba
Topics:
Introduction
Predictive models
Descriptive models
Announcements:
Click here to join the virtual lecture through Google Meet.
Welcome to 417005 (Data Analysis), 2024-II
Click here to download the dataset for logistic regression
To check out the evaluation schedule click here (Nov 2nd)
Prepare your presentation of your research problem, to know the evaluation criteria click here (Oct 14th new)
Defining the study problem by clicking here (Oct 11th)
You can download the Dataset for regression by clicking here
Office hours
You must request an appointment in advance by email, in the message you ought to describe your doubt in detail. If you don't live in Montería, I'll reply with a Google Meet link. In the subject you must indicate the course name, your group, and the subject itself, otherwise, I might ignore the message.
Evaluation
The course is split into three parts, in everyone, each coursework weighs the same.
The coursework might be assignments, exams, or a project
In the project you might work alone or team up with another classmate, however, both members of the team must present evidence of their contributions.
Late coursework won't be accepted
Resources:
Machine Learning: A Probabilistic Approach by Kevin Murphy (main bibliographical reference)
Information Theory, Inference, and Learning Algorithms by MacKay
Kaggle website. If you want to learn to harness machine learning, you ought to become a Kaggler.
UC Irvine Machine Learning Repository. If you need a dataset to work with, this is the right place to start your searching
Handwritten training set at Hastie's webpage. Normalized handwritten digits are automatically scanned from envelopes by the U.S. Postal Service.