Benjamin Jacobsen: Thursday 11:45am-12:45pm, through Canvas.

Polls (pollev.com/danielpiment511)
Lecture Materials

Topic 1: Overview

Topic 2: Review of Linear Algebra

Topic 3: Review of Probability

Topic 4: Review of Optimization

Topic 5: Linear Regression

Topic 6: Logistic Regression

Topic 7: Cross-Validation

Topic 8: Decision Trees

Topic 9: Nearest Neighbors

Topic 10: Bayesian Learning

Topic 11: Support Vector Machines

Topic 12: Neural Networks

Topic 13: K-means Clustering

Homework

Homework 0: Homework Backup

Homework 1: Review

Homework 2: Linear Regression

Homework 3: Logistic Regression

titanic_data.csv

Homework 4: Decision Trees

Homework 5: Nearest Neighbors & Naive Bayes

Homework 6: Frequentists vs Bayesians

Project

Project Description

Project_Template.tex

Project Schedule (opens April 20th at 9pm)

© Daniel Pimentel-Alarcón