Alternatives and similar repositories for pychattr

Users that are interested in pychattr are comparing it to the libraries listed below

• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆171Updated last year
• eeghor / mta
  Multi-Touch Attribution
  ☆117Updated 3 weeks ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• jerednel / markov-chain-attribution
  A PoC for a fractional attribution model leveraging first order Markov Chains.
  ☆85Updated last year
• google-marketing-solutions / fractional_uplift
  A flexible python package for cost-aware uplift modelling.
  ☆36Updated last year
• google / trimmed_match
  This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for…
  ☆69Updated 2 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆43Updated 4 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆60Updated 3 years ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• sosuneko / pydqc
  python automatic data quality check toolkit
  ☆282Updated 5 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆144Updated 3 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆420Updated last year
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• Matt52 / bayesian-testing
  Bayesian A/B testing
  ☆80Updated last month
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• jeremite / channel-attribution-model
  An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…
  ☆34Updated 4 years ago
• StevenMMortimer / ge-sklearn-pipeline-example
  Example using Great Expectations to Validate Data in a scikit-learn Pipeline
  ☆21Updated 5 years ago
• DP6 / Marketing-Attribution-Models
  Python Class created to address problems regarding Digital Marketing Attribution.
  ☆341Updated last week
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 4 years ago
• jrkinley / game-theory-attribution
  Data-Driven Marketing Attribution
  ☆35Updated 5 years ago
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆39Updated 5 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆249Updated 7 months ago
• better / convoys
  Implementation of statistical models to analyze time lagged conversions
  ☆263Updated last year