Scientific Data Analysis, Data Science, and Machine Learning in Python

An independent study with two parts:

Part 1: Consolidate and advance understanding of mainstream and cutting edge scientific data analysis techniques using Chapters 1-8 of Pasha, Astronomical Python

Part 2: Survey data science techniques up to and including neural net and deep learning implementations (which are the relevant preparation for a subsequent study of natural-language processing and LLMs) using Chapters 1-11, 13, 18, 19 and 21 of Grus, Data Science from Scratch, 2nd Ed.

Term 6 of Academic Year 2024-2025, Deep Springs College

Mentor: Prof. Brian Hill

Student: Hexi Jin (DS 23)

Independent Study Application and Preliminary Syllabus

• PDF of Independent Study Application
• PDF of Preliminary Syllabus

Required Materials

• Imad Pasha, Astronomical Python
  • Pasha’s examples use data hosted at https://zenodo.org/records/10732223
• Joel Grus, Data Science from Scratch, 2nd Edition

Actual Daily Schedules (Kept Retrospectively)

• Daily Schedule - Part 1
• Daily Schedule - Part 2

Looking Beyond

• Looking Beyond

Notes (mostly code samples)

• Brian’s Notes
• Hexi’s Notes