AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
Presentation + Jupyter Notebook from PyGotham July 2016
☆35Updated last year
Related projects ⓘ
Alternatives and complementary repositories for PyGotham_2016_Probabilistic_Graphical_Models
- Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator☆30Updated 6 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017☆32Updated 6 years ago
- Doing Bayesian statistics in Python!☆66Updated 6 years ago
- Slides and materials for most of my talks by year☆91Updated last year
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- ☆39Updated 7 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- ☆102Updated 6 years ago
- ☆41Updated 9 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆164Updated 5 years ago
- Ipython notebooks on various topics☆67Updated 6 years ago
- Scikit-learn tutorial at SciPy2016☆19Updated 8 years ago
- Notes for Data Science 350 Class☆23Updated 7 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- Code for machine learning workshop given to Sanger Systems group☆39Updated 8 years ago
- A Tour of Time Series Analysis☆23Updated 8 years ago
- Anomaly detection algorithm implementation in Python☆130Updated 4 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 8 years ago
- A Little Book of Python for Multivariate Analysis☆86Updated 8 years ago
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Updated 9 years ago
- PyDataLondonTutorial☆26Updated 8 years ago
- BUS 41204: Machine Learning☆32Updated 4 years ago
- In which I implement some applications of machine learning techniques.☆30Updated 8 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆36Updated 4 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 6 years ago
- Material and slides for Boston NLP meetup May 23rd 2016☆17Updated 8 years ago
- Presentation on How to use Facebook Prophet☆8Updated 7 years ago
- A guide to useful pandas features for intermediate-level data mungers☆35Updated 8 years ago
- Data Science for Good Projects☆49Updated 6 years ago