ksureshkumar-loveshark / blogs_publicLinks
☆13Updated 4 years ago
Alternatives and similar repositories for blogs_public
Users that are interested in blogs_public are comparing it to the libraries listed below
Sorting:
- This project introduces Causal AI and how it can drive business value.☆52Updated last year
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- Unstructured Code with interesting analysis☆37Updated last year
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆117Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆62Updated 3 years ago
- Hello world univariate examples for a variety of time series packages.☆57Updated last year
- ☆36Updated 9 months ago
- 📈🔍 Lets Python do AB testing analysis.☆78Updated 6 months ago
- customer lifetime value BG/NBD model☆17Updated 3 years ago
- Mis proyectos de marketing aplicando AI☆11Updated 2 weeks ago
- Repository containing the code of the projects presented in my personal website.☆44Updated 2 weeks ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆27Updated 2 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆59Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- Berlin Time Series Analysis Repository☆100Updated 2 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- A simple to use AB testing framework that lets anyone perform bayesian data analysis☆21Updated last year
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆43Updated 4 years ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- Demo on how to use Prefect with Docker☆27Updated 3 years ago
- sktime - python toolbox for time series: pipelines and transformers☆25Updated 2 years ago
- Validation for forecasts☆17Updated 2 years ago
- A library for Time Series EDA (exploratory data analysis)☆72Updated last year
- Feature engineering package with sklearn like functionality☆55Updated last year
- Causal Impact but with MFLES and conformal prediction intervals☆33Updated 10 months ago
- Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.☆29Updated last month
- Advanced Python for Data Science Workshop☆13Updated last year
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- Marketing Mix Modeling Data Generator☆44Updated 3 years ago