#Teaching-materials
Showing 24 of 24 repositories tagged #teaching-materials, ranked by stars
Jupyter notebooks for teaching/learning Python 3
📃 White paper for Backend developers
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Create your own programming language with Rust
Course materials for: Geospatial Data Science
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
This repository is part of a "Machine Learning from Scratch" seminar at Harvard Medical School.
Research Software Engineering with Python course material
Various teaching material
Course materials for: Introduction to Data Science and Programming
Teaching material for ML in Geoscience course
Forkable teaching materials for course on working with data in R
Machine Learning for Social Science
Demo codes, tutorials, and exercises for the master lecture Business Analytics and Data Science offered by the Chair of Information Systems at the Humboldt-University of Berlin
Teaching materials in python at the @ENSAE
Jupyter Notebooks for How to Think Like a Computer Scientist - Learning with Python 3 (RLE) Textbook
In my computer security courses I make extensive usage of cheatsheets for various tools and extra materials to complement the student learning if they are willing to do so. I have decided to share them to enable others to take advantage of them
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
Dépôt pour le cours d'IA par la communauté @DefendIntelligence.
Lab notebooks for the Fall 2017 offering of Georgia Tech's CSE 6040
The de facto standard for people who are looking to learn Dyalog APL from a book. This updated version is a work in progress.
Pandas is a powerful tool for data exploration and analysis (including timeseries).
This is the course material for the advanced course into Python for Data Scientists.
This is the course material for the introductory course into Python basics for Data Scientists.