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A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.
🎓 Path to a free self-taught education in Computer Science!
A repository with a selection of hand picked free courses from high quality universities that amount to a full Computer Science undergrad curriculum, based on 2019's MIT undergrad curriculum.
Web applications for CS Mentors.
UC Berkeley EE16B AI Chatbot 🤖 🖥️ 🐻
Sequoia: Student Researcher & Instructor at UC Berkeley
Pytorch implementatiions of the Homeworks in course CS294-158
My solutions to UC Berkeley's CS285: Deep Reinforcement Learning 2021
Jupyter Book guide providing information about the Berkeley-managed Jupyterhubs and for creating/maintaining the data science curriculum.
UC Berkeley course notes
Personal Deep Reinforcement Learning class notes
Lab solutions for https://sites.google.com/view/deep-rl-bootcamp
UC Berkeley Pacman AI Projects
Final project for data science tutorial (taken in third-year of undergrad, fall semester 2022)
Notes from STAT 33B at UC Berkeley in Fall 2020.
Syllabus and exercises for "Data Science for Finance," a course taught in the Masters of Financial Engineering program at UC Berkeley's Haas School of Business.
A brief introduction to translate economic analysis in Stata into computational, reproducible and interactive notebooks.
See where alumni work and have worked
Solution to the Deep RL Bootcamp labs from UC Berkeley
Introduction to Teaching Computer Science
UC Berkeley artificial intelligence course (CS 188) projects
The UC Berkeley Data Scholars Pathways Seminar exposes its students to many different cutting-edge Data Science tools.
Notes from STAT 33A at UC Berkeley in Fall 2020.
This repository contains solution to the pacman search problems of the UC Berkley CS188 AI class.
Implementation of Incremental Path Planning (D*-Lite) in Pacman Domain
GamesCrafters organization website.
Assignments for CS294-112. All work is my own.
Development of an Academic Code of Conduct Policy for AI in Astronomy