Course materials, code, notebooks and datasets for the Zero to Mastery Machine Learning and Data Science course.
Companion repository for Chip Huyen's book AI Engineering, with chapter summaries, study notes, prompt examples, and case studies.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
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Course notes & materials based on my CityU MSc CS journey. Includes study notes from 10 courses and resources shared by peers. Hope it helps fellow students — Star & PRs welcome. 基于香港城市大学 MSc CS 修课经历整理的课程笔记与资料。收录 10 门课程的学习沉淀,以及课程社群中同学们分享的资料。希望能帮到同样在学的同学,欢迎 Star 与 PR。
Jupyter notebooks and code samples accompanying Wes McKinney's book on data analysis with Python, pandas, and NumPy.
四川大学计算机学院本科课程资料(更新中 🔥)如果您觉得有帮助,还请点亮一下 Star 🌟 哦~ 万分感谢!
Materials for the Hugging Face Diffusion Models Course
Open Machine Learning course
A course in reinforcement learning in the wild
Bonus materials, exercises, and example projects for our Python tutorials
Python Deep Dive Course - Accompanying Materials
Generator Bootcamp Material: Learn Chisel the Right Way
Course Materials for Analytics in Stock Markets Zoomcamp
DL course co-developed by YSDA, HSE and Skoltech
Probability and Statistics for Data Science: A self-contained introduction to probability and statistics for data science, including a free pdf, 103 Python notebooks using 23 real-world datasets, 118 videos with slides, and solutions to 200 exercises
En este repositorio se colocará el material utilizado durante la Quinta Escuela de Cómputo Cuántico.
This repository contains the lecture materials, notebooks, code, datasets, assignments, demonstrations, and resources used during the Industry-Oriented AI Foundamentals Training Program conducted in August 2026.
Notebooks and other course materials for Emory DSCI 340 (Fall 2026 - Klein)