b11z / pydata-la-18-clvLinks
Customer Lifetime Value talk material from PyData LA 2018.
☆13Updated 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
Sorting:
- Probabilistic Programming and Bayesian Computing with PyMC☆23Updated last year
- Statistical Rethinking course in pymc3☆143Updated 5 years ago
- Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle☆14Updated 6 years ago
- Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle☆39Updated 8 years ago
- ☆24Updated 5 years ago
- Educational resources☆104Updated 3 years ago
- ☆135Updated last year
- R package for Customer Behavior Analysis☆189Updated last year
- Fit Sparse Synthetic Control Models in Python☆87Updated last year
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- Forecasting 🇫🇷 elections with Bayesian statistics 🥳☆42Updated 3 years ago
- Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019☆37Updated 2 years ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆172Updated 11 months ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆140Updated 6 years ago
- ☆97Updated 7 years ago
- Berlin Time Series Analysis Repository☆100Updated 2 years ago
- ☆17Updated 8 years ago
- ☆125Updated 6 years ago
- A python module for the synthetic control method☆76Updated 5 months ago
- ☆78Updated 10 years ago
- Time should be taken seer-iously☆317Updated 2 years ago
- A python package for estimating conditional logit models.☆198Updated 3 years ago
- Public repo for the pymetalog project☆39Updated 3 years ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆213Updated last month
- Synthetic difference in differences for Python☆84Updated last year
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆81Updated 6 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆670Updated 3 years ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- Class resources for CAPP 30254 (Machine Learning for Public Policy)☆107Updated 6 years ago
- ☆90Updated 4 years ago