Alternatives and similar repositories for datascience_marketing

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

• blurred-machine / Sales-and-Marketing-Analytics
  This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…
  ☆74Updated 5 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 last year
• 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 7 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆69Updated 4 years ago
• mukulsinghal001 / customer-lifetime-prediction-using-python
  What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…
  ☆146Updated 2 years ago
• bondicrypto / AB_Testing
  Implementing A/B Tests in Python
  ☆28Updated 5 years ago
• alfredsasko / Customer-Journey-Analytics
  Analytics for building Customer Journey Map in Ecommerce
  ☆28Updated 5 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆41Updated 4 years ago
• h3ik0th / clv
  customer lifetime value BG/NBD model
  ☆17Updated 3 years ago
• SooyeonWon / customer_analytics_fmcg
  Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
  ☆43Updated 4 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• seifip / starbucks-customer-segmentation
  Udacity Data Science Nanodegree Capstone
  ☆36Updated 5 years ago
• iamcici0424 / Marketing-Mix-Models
  This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…
  ☆23Updated 3 years ago
• rachel872 / oreilly-intro-to-predictive-clv
  Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value"
  ☆15Updated 8 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
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago
• jakebenn / multi-touch-attribution-markov-chains
  A proof-of-concept for implementing multi-touch attribution using Markov Chains
  ☆12Updated 6 years ago
• HamzaBendemra / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆65Updated 4 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 3 years ago
• PacktPublishing / Hands-On-Data-Science-for-Marketing
  Hands-On Data Science for Marketing, published by Packt
  ☆246Updated 3 weeks ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• Nikhilkohli1 / Olist-Marketing-Analytics
  Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
  ☆41Updated 9 months ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆97Updated 7 years ago
• jerednel / markov-chain-attribution
  A PoC for a fractional attribution model leveraging first order Markov Chains.
  ☆80Updated 8 months ago
• amitvkulkarni / Data-Apps
  A collection of application which are built on open source technologies/frameworks like R Shiny, Plotly-Dash, Flask and Streamlit
  ☆53Updated 2 weeks ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆34Updated 6 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago