Alternatives and similar repositories for EmailListChurnRate:

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

• 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 last year
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆24Updated 6 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆40Updated 3 years ago
• blendo-app / NBD-Pareto-churn-model
  ☆12Updated 7 years ago
• rdempsey / pyspark-for-data-processing
  Code for my presentation: Using PySpark to Process Boat Loads of Data
  ☆20Updated 7 years ago
• yoonkanglow / Causal-Impact-Analysis-Demo
  ☆26Updated 7 years ago
• ofermend / practical-data-science-with-hadoop-and-spark
  ☆26Updated last year
• firmai / python-for-finance
  ☆14Updated 5 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆18Updated 2 years ago
• AlexIoannides / notes-and-demos
  Study notes and demos.
  ☆12Updated last year
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• psu4 / Marketing-Mix-Modeling-
  ☆26Updated 9 years ago
• AileenNielsen / OReillyHealthcareData
  ☆40Updated 7 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆24Updated 8 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 5 years ago
• thedataincubator / excel-to-python
  Examples of how Python can speed up tasks that are cumbersome in Excel
  ☆13Updated 8 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 9 months ago
• stefan-jansen / topic-modeling
  ☆14Updated 2 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• NikTRSK / Data-Science-and-Machine-Learning-with-Python---Hands-On
  Data Science and Machine Learning with Python - Hands On from Udemy
  ☆14Updated 7 years ago
• olivierzach / bayesian-marketing-attribution
  Marketing attribution using Bayesian credible sets and regression methods
  ☆15Updated 4 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆59Updated 6 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆46Updated 6 years ago
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆59Updated 2 years ago