pymc-learn / pymc-learn-bookLinks
Book: Practical Probabilistic Machine Learning in Python
☆10Updated 4 years ago
Alternatives and similar repositories for pymc-learn-book
Users that are interested in pymc-learn-book are comparing it to the libraries listed below
Sorting:
- Course in Probabilistic Programming in Python for the 2018 EU Summer School☆23Updated 7 years ago
- Jupyter Notebooks for Adv. Predictive Modeling Course☆15Updated 8 years ago
- Introductory overview of Bayesian inference☆43Updated 6 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆13Updated 7 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆18Updated 7 years ago
- ☆24Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 8 years ago
- PCA, Factor Analysis, CCA, Sparse Covariance Matrix Estimation, Imputation, Multiple Hypothesis Testing☆10Updated 3 years ago
- Course of Machine Learning in Science and Industry at Heidelberg university☆47Updated 8 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- Short introduction to Bayesian statistical modelling with PyMC3☆18Updated 5 years ago
- Code and data for SciPy 2018 talk on missing data☆21Updated 7 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Notes for Data Science 350 Class☆24Updated 8 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- A Primer on Python for Statistical Programming and Data Science☆26Updated 6 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- BUS 41204: Machine Learning -- Winter 2016☆11Updated 8 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 5 years ago
- ☆16Updated 6 years ago
- ☆31Updated 9 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- Short course on nonparametric inference in auditing and litigation, XXIX Foro Internacional de Estadistica, Puebla, MX☆15Updated 8 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 8 years ago
- A curated list of gradient boosting machines (GBM) resources☆10Updated 6 years ago
- Advanced GBM Workshop - Budapest, Nov 2019☆12Updated 5 years ago
- ☆15Updated 7 years ago
- ☆14Updated 6 years ago
- 100 Days of Experimenting with TensorFlow Probability☆39Updated 5 years ago