CamDavidsonPilon / lifetimes
Lifetime value in Python
☆1,449Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for lifetimes
- Survival analysis in Python☆2,370Updated last week
- Survival analysis built on top of scikit-learn☆1,134Updated this week
- Python implementations of the Boruta all-relevant feature selection method.☆1,509Updated 2 months ago
- Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.☆168Updated 3 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆616Updated 3 weeks ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆405Updated 4 months ago
- Pandas integration with sklearn☆2,810Updated last year
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆700Updated this week
- Python port of CausalImpact R library☆275Updated 6 months ago
- python partial dependence plot toolbox☆845Updated 2 months ago
- Open source time series library for Python☆2,110Updated last year
- WTTE-RNN a framework for churn and time to event prediction☆768Updated 4 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆496Updated last year
- An R package for causal inference in time series☆1,703Updated last year
- Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark☆1,479Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,758Updated 2 years ago
- ☆745Updated last year
- A library of sklearn compatible categorical variable encoders☆2,410Updated last month
- Hyper-parameter optimization for sklearn☆1,587Updated 4 months ago
- Easy pipelines for pandas DataFrames.☆716Updated last week
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆352Updated 2 years ago
- Extra blocks for scikit-learn pipelines.☆1,271Updated this week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆340Updated last year
- BAyesian Model-Building Interface (Bambi) in Python.☆1,075Updated last month
- Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow☆2,741Updated 2 years ago
- Tools for causal analysis☆1,062Updated last year
- A collection of Bayesian data analysis recipes using PyMC3☆554Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,291Updated last month
- R package for Customer Behavior Analysis☆185Updated 7 months ago