Alternatives and similar repositories for predict-customer-churn

Users that are interested in predict-customer-churn are comparing it to the libraries listed below

• Sundar0989 / WOE-and-IV
  ☆136Updated 7 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆144Updated 3 years ago
• alteryx / open_source_demos
  A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
  ☆504Updated 2 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆64Updated 2 years ago
• joaolcorreia / RFM-analysis
  Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
  ☆281Updated 6 years ago
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆309Updated 5 months ago
• 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 this week
• elena-sharova / IsolationForest
  testing scikit-learn Isolation Forest
  ☆77Updated 7 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆98Updated 8 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 7 years ago
• joshxinjie / Data_Scientist_Nanodegree
  ☆77Updated 7 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆142Updated 6 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆255Updated 8 months ago
• datarobot-community / tutorials-for-data-scientists
  ☆81Updated 2 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆72Updated 5 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆300Updated 7 years ago
• mwburke / population-stability-index
  Python implementation of the population stability index (PSI)
  ☆143Updated 2 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆135Updated last year
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆680Updated last year
• aikho / awesome-feature-engineering
  A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning
  ☆599Updated 7 years ago
• byukan / Marketing-Data-Science
  Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…
  ☆304Updated last year
• HegdeChaitra / Bank-Marketing-Campaign-Analysis
  Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target
  ☆63Updated 7 years ago
• FilippoBovo / production-data-science
  Production Data Science: a workflow for collaborative data science aimed at production
  ☆456Updated 5 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 6 years ago
• anindya-saha / Data-Science-with-Spark
  Machine Learning and Data Analysis Case Studies using Spark.
  ☆72Updated 4 years ago
• cmawer / pycon-2017-eda-tutorial
  Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
  ☆237Updated 3 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆56Updated 7 years ago