yoonhwang / Hands-On-Data-Science-for-Marketing-1Links
Hands-On Data Science for Marketing, published by Packt
☆10Updated 6 years ago
Alternatives and similar repositories for Hands-On-Data-Science-for-Marketing-1
Users that are interested in Hands-On-Data-Science-for-Marketing-1 are comparing it to the libraries listed below
Sorting:
- Data driven growth☆10Updated 2 years ago
- Predicting Customer Lifetime Value☆12Updated 5 years ago
- Analytics for building Customer Journey Map in Ecommerce☆29Updated 5 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆302Updated last year
- Achieve your marketing goals with the data analytics power of Python☆224Updated 6 years ago
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆279Updated 6 years ago
- 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…☆156Updated 3 years ago
- Hands-On Data Science for Marketing, published by Packt☆252Updated 6 months ago
- ☆133Updated 3 weeks ago
- ☆11Updated 5 years ago
- ☆30Updated 7 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆44Updated last year
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆49Updated 7 years ago
- RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers bas…☆25Updated 8 years ago
- Spark + Python for Maketing Analytics☆10Updated 8 years ago
- PySpark Cookbook, published by Packt☆93Updated 2 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆61Updated 2 years ago
- Code repository for Large Scale Machine Learning with Spark by Packt☆20Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 5 years ago
- PyCon SG 2016 - Customer Segmentation in Python☆56Updated 9 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆137Updated 7 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆58Updated 9 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- Twitch Stream Analysis with Apache Spark and Apache Zeppelin☆12Updated 9 years ago
- Get GA data via Google Analytics Reporting API v4 in Python Pandas & Export it to Spreadsheet via pygsheets.☆20Updated 6 years ago
- Apache Spark 2 for Beginners, published by Packt☆33Updated 3 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 7 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆63Updated 7 years ago
- Learn how to predict if a person will be able to pay the loan with logistic regression algorithm using sklearn library for machine learni…☆11Updated 3 years ago
- Live Training: Market Basket Analysis in Python☆48Updated 5 years ago