terfilip / DataAnalysisParallel-PyData
Complete code used during the Data Analysis in Parallel tutorial at PyData London 2019. It includes a notebook actually shown in the tutorial, a notebook for fitting the sentiment model, and input data
☆9Updated 5 years ago
Alternatives and similar repositories for DataAnalysisParallel-PyData:
Users that are interested in DataAnalysisParallel-PyData are comparing it to the libraries listed below
- ☆25Updated 7 months ago
- Tutorial for PyData London 2019 on AB Test by cluster☆13Updated 5 years ago
- ☆47Updated 5 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆155Updated 4 years ago
- ☆90Updated 4 years ago
- Presented at Scipy Conference 2019☆125Updated 4 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Experimenting with and teaching probabilistic programming☆103Updated 2 years ago
- Source code, materials and notebooks for the workshop @ PyData London 2019 - https://pydata.org/london2019/schedule/presentation/14/☆17Updated 5 years ago
- ☆231Updated 3 years ago
- An easy to use waterfall chart function for Python☆161Updated 4 years ago
- Better `keras` models for time series and beyond☆61Updated last year
- ☆80Updated 8 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Repository for an online class on Exploratory Data Analysis in Python☆66Updated 5 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Presentation + Jupyter Notebook from PyGotham July 2016☆35Updated last year
- GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3☆326Updated 4 years ago
- my blog☆267Updated 2 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 4 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆349Updated 4 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆106Updated 5 years ago
- ☆30Updated 7 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆226Updated 4 years ago
- ☆39Updated 6 years ago
- bayesian bootstrapping in python☆121Updated 2 years ago
- Course notes for Computational Statistics and Statistical Compuing☆62Updated 5 years ago
- Example Python DS project☆71Updated 6 years ago
- ☆17Updated 7 years ago