COGS108 / TutorialsLinks
Introductory tutorial notebooks for learning data science, as part of the Data Science in Practice materials.
☆81Updated 4 months ago
Alternatives and similar repositories for Tutorials
Users that are interested in Tutorials are comparing it to the libraries listed below
Sorting:
- A curated list of suggested reading materials.☆19Updated 11 months ago
- Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).☆110Updated last year
- Data Science Resources☆79Updated 5 months ago
- Python package to easily access the most updated Coronavirus data using Python/PIP☆59Updated 5 years ago
- One day workshop for machine learning with scikit-learn☆63Updated 2 years ago
- Python companion for Statistical Thinking in the 21st Century☆74Updated 11 months ago
- Explorations of survival analysis in Python☆49Updated 2 years ago
- Overview and map of the organization, for the UCSD course COGS108: Data Science in Practice.☆142Updated 3 months ago
- Course materials for PSYCH101-D. "Data Science for Research Psychology"☆11Updated 3 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆94Updated last year
- Introduction to Probability and Statistics☆56Updated 3 years ago
- Materials for UC Berkeley Neuroscience 299☆53Updated 5 years ago
- Course materials for the SSI 2016 course "Intro to Data Science in Python"☆30Updated 9 years ago
- Analysis repository for Waskom et al., (2017) Cerebral Cortex☆17Updated 9 years ago
- ☆34Updated 5 years ago
- Teaching materials for Python MixedLM (mixed linear models)☆48Updated 8 years ago
- Data Science for Good Projects☆49Updated 7 years ago
- Applied Machine Learning with Python☆80Updated last year
- In-class exercises for Deep Learning course at NYC Data Science Academy☆32Updated 7 years ago
- Small web apps that illustrate statistical concepts☆130Updated 4 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- ☆91Updated 5 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- A starter kit for new chapters of WiMLDS☆43Updated 10 months ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Repository for a workshop on Complexity Science☆39Updated 4 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python☆65Updated 6 years ago
- Analysis code for Waskom and Wagner (2017) PNAS☆43Updated 8 years ago