Lecture Notes

Topic 1: Introduction

Topic 2: Data Visualization

Topic 3: Probability Review

Topic 4: Linear Algebra Review

Topic 5: Optimization

Topic 6: Linear Regression

Topic 7: Nearest Neighbors

Topic 8: K-Means Clustering

Topic 9: Logistic Regression

Topic 10: Random Forests

Homework

Homework 1: Data Visualization

titanic_data.csv

Homework 2: Data Simulation

Homework 3: Probability Review

Homework 4: Linear Algebra Review

Homework 5: Optimization & Linear Algebra

Homework 6: K-Means Clustering

breast_data.csv

breast_truth.csv

mu_init.csv

Project

Slides: Intro to Bacteria — Courtesy of Jennifer Rattray & Sam Brown

Report_Template.tex

Figure_Example.pdf

© Daniel Pimentel-Alarcón