ucb-stat154 / stat154-fall-2017Links
Course materials for Stat 154, fall 2017, at UC Berkeley
☆16Updated 7 years ago
Alternatives and similar repositories for stat154-fall-2017
Users that are interested in stat154-fall-2017 are comparing it to the libraries listed below
Sorting:
- Course materials for Stat 243, fall 2016, at UC Berkeley☆9Updated 8 years ago
- Materials for Applied Machine Learning Taught in Python☆37Updated 2 years ago
- Course materials for Stat 133, fall 2016, at UC Berkeley☆15Updated 8 years ago
- This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.☆34Updated 7 years ago
- GitHub Repository for the 01/04/2016 Meetup titled "Introduction to Event Log Mining with R".☆13Updated 8 years ago
- Public files for Econ 103☆14Updated 2 years ago
- Course offered online through Stanford closely following the text "An Introduction to Statistical Learning, with Applications in R" (Jame…☆6Updated 6 years ago
- Reference materials of "Probability & Statistics" IPE 205 course☆23Updated 6 years ago
- Course materials for Stat 20 and Stat 131A, Spring 2017, at UC Berkeley☆17Updated 8 years ago
- This repository holds all course materials for the fall 2018 offering of Statistics 243 at UC Berkeley.☆17Updated 5 years ago
- ☆38Updated 6 years ago
- Statistics/D-Lab R bootcamp at UC Berkeley, August 2017☆19Updated 7 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆20Updated 7 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Course materials for Stat 133, Spring 2018, at UC Berkeley☆38Updated 7 years ago
- Course materials for Stat 154, spring 2018, at UC Berkeley☆27Updated 6 years ago
- Deep learning examples☆13Updated 8 years ago
- Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/…☆21Updated 8 years ago
- Here we host the lecture notes and problem sets for the "Projektkurs Data Science & Business Analytics" at Ulm University☆18Updated 4 years ago
- Draft syllabus for the Data Challenge Lab☆23Updated 8 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"☆19Updated 7 years ago
- Course materials for Text as Data Lab, Spring 2018☆13Updated 6 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 8 years ago
- This is the course website for MSAN 601: "Linear Regression Analysis" at the University of San Francisco. Assignments, lecture notes, and…☆19Updated 7 years ago
- Topics in statistical computing @ ISU☆18Updated 9 years ago
- Selective Bayesian Forest Classifier - R package for simultaneous feature selection and classification. See paper: http://arxiv.org/abs/1…☆16Updated 3 years ago
- Statistical Learning & Data Mining IV - H2O Presenation & Tutorial☆26Updated 7 years ago
- experiments with the R package TSclust☆11Updated 10 years ago
- This is the course website for BSDS 100: "Introduction to Data Science with R" at the University of San Francisco. Assignments, lecture n…☆19Updated 2 years ago