b11z / pydata-la-18-clv
Customer Lifetime Value talk material from PyData LA 2018.
β13Updated 6 years ago
Alternatives and similar repositories for pydata-la-18-clv:
Users that are interested in pydata-la-18-clv are comparing it to the libraries listed below
- A full example for causal inference on real-world retail data, for elasticity estimationβ50Updated 3 years ago
- Forecasting π«π· elections with Bayesian statistics π₯³β41Updated 2 years ago
- Fit Sparse Synthetic Control Models in Pythonβ80Updated 10 months ago
- Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattleβ14Updated 6 years ago
- β50Updated 6 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019β36Updated 2 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distrβ¦β121Updated last month
- β90Updated 4 years ago
- β97Updated 7 years ago
- β44Updated 9 months ago
- R package for Customer Behavior Analysisβ187Updated 10 months ago
- β132Updated last year
- Probabilistic Programming and Bayesian Computing with PyMCβ22Updated 7 months ago
- β11Updated 2 months ago
- Basic time series modeling with Stan and Pystanβ33Updated 7 years ago
- Python package for Wald's sequential probability ratio testβ49Updated 11 months ago
- β23Updated 4 years ago
- This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design forβ¦β64Updated last year
- R-Package for estimating CLVβ55Updated 2 months ago
- Tutorial for PyData London 2019 on AB Test by clusterβ13Updated 5 years ago
- Python port of CausalImpact R libraryβ280Updated 9 months ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"β169Updated 3 months ago
- Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattleβ39Updated 7 years ago
- Educational resourcesβ104Updated 3 years ago
- β158Updated 2 years ago
- My Jupyter notebook serverβ19Updated 3 years ago
- Fast Bayesian A/B and Multivariate testing.β36Updated 2 years ago
- An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)β55Updated 4 years ago
- Time should be taken seer-iouslyβ314Updated last year
- Work-In-Progress: conjoint analysis in Pythonβ52Updated 6 years ago