Alternatives and similar repositories for Customer-Analytics

Users that are interested in Customer-Analytics are comparing it to the libraries listed below

• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆142Updated 3 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆415Updated last year
• rtheman / CLV
  Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)
  ☆50Updated 5 years ago
• tab114 / Marketing_Mixed_Modelling_Analysis
  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
• carl24k / fight-churn
  Code from the book Fighting Churn With Data
  ☆295Updated last month
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆249Updated 3 months ago
• j-planet / machine-learning-big-loop
  a big loop that runs through all sklearn supervised models, as well as hyperparameter-selection via cross-validation
  ☆36Updated 8 years ago
• dataandcaffeine / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆39Updated 8 years ago
• aajains / springboard-datascience-intensive
  ☆35Updated 7 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago
• loldja / loldja.github.io
  Data science blog
  ☆33Updated 7 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• yanxiali / Predicting-Default-Clients-of-Lending-Club-Loans
  ☆30Updated 7 years ago
• ayhandis / creditR
  A Credit Risk Scoring Modeling and Validation Package
  ☆67Updated 6 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated 3 weeks ago
• joshkyh / amss
  Learn Bayesian Regression on simulated dataset
  ☆10Updated 7 years ago
• arstepanyan / Notes
  Notes from different sources such as Harvard CS109 course, Springboard's Data Science Interview questions, Elements of Programming Interv…
  ☆35Updated 4 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆279Updated 8 years ago
• mtpa / mds
  Marketing Data Science
  ☆59Updated 10 years ago
• drivendataorg / pover-t-tests
  ☆27Updated last year
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• chrisluedtke / data-science-journal
  Personal repository of data science demonstrations and references
  ☆77Updated 2 years ago
• abhinav1024 / Marketing_Mix_Modelling-MMM-
  A Marketing Mix Modelling project for an E-Commerce company
  ☆13Updated 3 years ago
• klarsen1 / MarketMatching
  ☆135Updated last year
• annalectnl / weibull-adstock
  Modeling adstock in media mix modeling using Weibull transformations.
  ☆16Updated 5 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…
  ☆297Updated 10 months ago
• datarobot-community / tutorials-for-data-scientists
  ☆78Updated 2 years ago
• business-science / presentations
  A central repository of Business Science presentations
  ☆169Updated 5 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago