Alternatives and similar repositories for customer_retention

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

• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆36Updated 5 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• amdp-chauhan / complete-deployable-ml-solution
  API-First approach to make Machine Learning solution usable
  ☆13Updated 6 years ago
• DiegoUsaiUK / Market_Basket_Analysis
  Market Basket Analysis with Recommendation Algorithms & Shiny App Implementation of a Product Recommendation System for an Online Retaile…
  ☆33Updated 6 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
• nhartland / dashengine
  A skeleton project for setting up a Dash app on Google Cloud Platform
  ☆11Updated 4 months ago
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆36Updated 6 years ago
• MatCyt / Markov-Chain
  R based marketing attribution and basic budget optimization using Markov Chains
  ☆52Updated 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 5 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago
• fairlearn / talks
  Talks / presentations / tutorials about Fairlearn and fairness in ML
  ☆22Updated 3 years ago
• john-guerra / MIDS_W209_Information_Visualization_Slides
  Slides for the W209 Information Visualization course of the Masters in Data Science at UC Berkeley
  ☆63Updated 10 months ago
• adilmoujahid / streamlit-messi-ronaldo
  Analyzing Messi and Ronaldo's Games using Python and Streamlit
  ☆34Updated 4 years ago
• khuyentran1401 / linear-programming-with-PuLP
  ☆12Updated 5 years ago
• BloomTech-Labs / labs-ds-starter
  ☆10Updated 3 years ago
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 8 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆24Updated 7 years ago
• jerry-appliedAIstudio / business-model-simulation
  ☆20Updated 8 years ago
• schmidtbri / ml-model-abc-improvements
  Code showing how to add metadata and versioning to an ML model base class.
  ☆11Updated 2 years ago
• risenW / Practical_feature_engineering_guide
  A detailed guide to feature engineering for machine learning in Python
  ☆23Updated 5 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 5 years ago
• maladeep / data-quality-checker
  Check the basic quality of any dataset
  ☆11Updated 4 years ago
• blendo-app / ClickstreamAnalysis
  Analyzing Clickstream Data using Markov Chains and data mining SPACE algorithm
  ☆29Updated 7 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 9 years ago
• savvastj / model_interpretability_post
  ☆15Updated 7 years ago
• joaolcorreia / Google-Analytics-BigQuery-Data-Export
  Export Google Analytics data from BigQuery using Standard or Legacy SQL.
  ☆41Updated 8 years ago
• DataForScience / Graphs4Sci
  ☆48Updated last year
• talkpython / nlp-with-python-and-spacy-course
  Course materials for our "Getting Started with NLP and spaCy" course at Talk Python
  ☆38Updated 8 months ago