dataandcaffeine / pydata-seattle-2017Links
Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
☆39Updated 8 years ago
Alternatives and similar repositories for pydata-seattle-2017
Users that are interested in pydata-seattle-2017 are comparing it to the libraries listed below
Sorting:
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- Notes and Python scripts for A/B or Split Testing☆140Updated 2 years ago
- A Credit Risk Scoring Modeling and Validation Package☆67Updated 6 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- ☆26Updated 3 years ago
- ☆135Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆382Updated 3 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- ☆24Updated 4 years ago
- Customer Base Analysis with Recurrent Neural Networks☆18Updated 3 years ago
- Modeling Techniques in Predictive Analytics with Python and R☆67Updated 9 years ago
- R based marketing attribution and basic budget optimization using Markov Chains☆51Updated 5 years ago
- Code from the book Fighting Churn With Data☆292Updated this week
- A Marketing Mix Modelling project for an E-Commerce company☆13Updated 2 years ago
- Tutorial given at PyData LA 2018☆97Updated 10 months ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆139Updated 5 years ago
- Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)☆50Updated 4 years ago
- ☆82Updated last year
- A collection of resources for learning and research.☆96Updated 2 months ago
- ☆97Updated 7 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 4 years ago
- Introduction to scikit-learn: Machine Learning in Python☆20Updated 3 years ago
- Marketing Data Science☆59Updated 9 years ago
- A package to compute a marketing mix model.☆70Updated last year
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 5 years ago
- Marketing Mix Modeling Data Generator☆44Updated 3 years ago
- Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…☆39Updated 7 years ago
- ☆16Updated last year
- Simulate Bayesian A/B testing algorithms and evaluate the results of A/B tests with a shiny app.☆20Updated 7 years ago