STIMALiU / ml4industryLinks
Machine Learning course at Linköping University for Industry
☆20Updated 5 years ago
Alternatives and similar repositories for ml4industry
Users that are interested in ml4industry are comparing it to the libraries listed below
Sorting:
- ☆24Updated 5 years ago
- Bayesian Learning course at Stockholm University☆157Updated last month
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle☆15Updated 6 years ago
- In which I play with the ideas surrounding causality☆54Updated 3 years ago
- One day workshop for machine learning with scikit-learn☆63Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆72Updated last year
- Unstructured Code with interesting analysis☆36Updated last year
- Lecture Notes on Statistical Inference☆77Updated last year
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆172Updated last year
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆72Updated 5 years ago
- ☆38Updated 4 years ago
- Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.☆20Updated 9 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- Survival Analysis with non-parametric, semi-parametric, and parametric models☆40Updated 7 years ago
- Berlin Time Series Analysis Repository☆100Updated 2 years ago
- State Space Estimation of Time Series Models in Python: Statsmodels☆44Updated 8 years ago
- Applied Machine Learning with Python☆80Updated last year
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- ☆27Updated 6 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆160Updated 5 years ago
- Bayesian Markov Chain Monte Carlo Forecast for COVID-19☆41Updated 5 years ago
- Tutorial given at PyData LA 2018☆97Updated last year
- Bayesian Bandits☆68Updated 2 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆46Updated 5 years ago
- Repository containing the code of the projects presented in my personal website.☆45Updated this week
- ☆26Updated 4 years ago