UBC-MDS / DSCI_572_sup-learn-2
DSCI 572: Supervised Learning II
☆15Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for DSCI_572_sup-learn-2
- Review of time series using regression and neural network methods☆33Updated 5 years ago
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 3 years ago
- Course materials for Stat 243, fall 2016, at UC Berkeley☆9Updated 7 years ago
- Course materials for Stat 20 and Stat 131A, Spring 2017, at UC Berkeley☆17Updated 7 years ago
- This repository holds all course materials for the fall 2018 offering of Statistics 243 at UC Berkeley.☆17Updated 5 years ago
- Demonstration of parametric bootstrap to find k for kmeans☆10Updated 4 years ago
- ☆50Updated this week
- Deep Learning with Metaheuristic☆28Updated 4 years ago
- ☆14Updated 4 years ago
- Shirin's playgRound - exploring and playing with data in R☆18Updated 5 years ago
- DSCI 511: Programming for Data Science☆13Updated 3 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 5 years ago
- The 2020 Version of the Deep Learning Course☆8Updated 4 years ago
- An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learn…☆15Updated 5 years ago
- Introductory overview of Bayesian inference☆45Updated 5 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆45Updated 4 years ago
- YouTube course using IPython and Jupyter notebooks to do statistical analysis.☆19Updated 8 years ago
- Time series with torch☆13Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- Implements the model described in "Identification, Interpretability, and Bayesian Word Embeddings"☆18Updated 5 years ago
- Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…☆13Updated 4 years ago
- Course materials for the ORC's 2017 IAP course, "Computing in Optimization and Statistics"☆19Updated 7 years ago
- StAtistical Models for the UnsupeRvised segmentAion of tIme-Series☆12Updated 4 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆41Updated 2 years ago
- Non-parametric Bayesian Inference for Conservation Decisions☆44Updated 4 years ago
- Worksheets to accompany Data Science: A First Introduction☆26Updated last year
- ☆17Updated 4 years ago
- Introduction to Scientific Python☆14Updated 5 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆19Updated 9 months ago