Alternatives and similar repositories for hands-on-data-science-for-marketing:

Users that are interested in hands-on-data-science-for-marketing are comparing it to the libraries listed below

• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 7 months ago
• mtpa / mds
  Marketing Data Science
  ☆59Updated 9 years ago
• PacktPublishing / Hands-On-Predictive-Analytics-with-Python
  Hands-On Predictive Analytics with Python, published by Packt
  ☆51Updated last year
• 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
• 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.
  ☆45Updated 6 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆82Updated 7 years ago
• 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 last year
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• gedeck / dmba
  Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
  ☆72Updated 9 months 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
• AileenNielsen / OReillyHealthcareData
  ☆39Updated 7 years ago
• solegalli / deploying-machine-learning-models
  Example Repo for the Udemy Course "Deployment of Machine Learning Models"
  ☆20Updated 4 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
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆89Updated 6 years ago
• rtheman / CLV
  Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)
  ☆49Updated 4 years ago
• gaganmanku96 / Docker-Tutorial---Data-Scientists
  ☆27Updated 5 years ago
• knathanieltucker / deep-learning-building-blocks
  ☆33Updated 2 years ago
• AntonsRuberts / datascience_marketing
  Here I'll publish all of my personal projects that relate to Data Science in Marketing
  ☆45Updated 4 years ago
• hamzaben86 / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆65Updated 4 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago
• rileypredum / mall_customer_segmentation
  Quick EDA on a data set to determine what segments there are.
  ☆31Updated 5 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆67Updated 4 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated 4 months ago
• mscharth / forecasting
  Forecasting lectures and tutorials using Python
  ☆101Updated 7 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆24Updated 2 years ago
• bhattbhavesh91 / GA_Sessions
  A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions
  ☆30Updated 5 years ago
• datarobot-community / tutorials-for-data-scientists
  ☆75Updated last year
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆103Updated 2 years ago
• LeihuaYe / Statistical_Simulation_In_Python
  ☆13Updated 3 years ago