Teaching
Course materials, schedules, and resources for classes taught / assisted.
I was a Statistics and Data Science Fellow at Amherst College, which meant I was a teaching assistant for: MATH/STAT 135 (Introduction to Statistics Via Modeling), STAT 230 (Intermediate Statistics), and STAT 231 (Data Science).
I am planning to put lecture notes and resources here in the future to facilitate understanding of difficult topics. Currently the courses are all placeholders.
2024
Data Science Fundamentals
This course covers the foundational aspects of data science, including data collection, cleaning, analysis, and visualization. Students will learn practical skills for working with real-world datasets.
2023
Introduction to Machine Learning
This course provides an introduction to machine learning concepts, algorithms, and applications. Students will learn about supervised and unsupervised learning, model evaluation, and practical implementations.