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.
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Updated
Feb 16, 2021
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!
Structure and Interpretation of Computer Programs, Fall 2018
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.
sgal's solution for CS 61A, Summer 2019, most of which in one line
UC Berkeley EE16B AI Chatbot 🤖 🖥️ 🐻
Web applications for CS Mentors.
Sequoia: Student Researcher & Instructor at UC Berkeley
My solutions to UC Berkeley's CS285: Deep Reinforcement Learning 2021
Pytorch implementatiions of the Homeworks in course CS294-158
UC Berkeley course notes
Jupyter Book guide providing information about the Berkeley-managed Jupyterhubs and for creating/maintaining the data science curriculum.
A brief introduction to translate economic analysis in Stata into computational, reproducible and interactive notebooks.
Lab solutions for https://sites.google.com/view/deep-rl-bootcamp
UC Berkeley CS70: Discrete Mathematics and Probability Theory, Fall 2021
Solution to the Deep RL Bootcamp labs from UC Berkeley
Personal Deep Reinforcement Learning class notes
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.
Notes from STAT 33B at UC Berkeley in Fall 2020.
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