Taught by https://shengpu-tang.me/


Introduction

Machine learning is a subfield of AI that enables machines to learn from data and perform tasks without explicit programming. It powers applications in science (e.g., diagnosis, personalized medicine) and consumer tech (e.g., recommender systems, chatbots).

We explored and implemented key machine learning concepts through course activities, and I've summarized some of them below.


Assignments

Getting used to Python

Palmer Penguins Dataset Analysis

CVS files and Pandas Dataframe

Logistic Regression Model

Predicting Survival of ICU Patients

Convolution Neural Network Model

Dog Classification

Experiment Log