PacktPublishing / Hands-On-Data-Science-for-MarketingLinks
Hands-On Data Science for Marketing, published by Packt
☆251Updated 5 months ago
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
Sorting:
- Achieve your marketing goals with the data analytics power of Python☆222Updated 6 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆300Updated 11 months ago
- ☆131Updated last month
- Code from the book Fighting Churn With Data☆300Updated 2 months ago
- Notes and Python scripts for A/B or Split Testing☆142Updated 3 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆244Updated 5 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆61Updated 7 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…☆154Updated 2 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 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 …☆135Updated 7 years ago
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆278Updated 6 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆49Updated 5 years ago
- Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices☆130Updated 3 years ago
- Analysis for Customer Segmentation☆72Updated 5 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆148Updated 4 years ago
- ☆100Updated 3 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆48Updated 4 years ago
- Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"☆79Updated last year
- A/B Testing — A complete guide to statistical testing☆175Updated 3 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆418Updated last year
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆73Updated 5 years ago
- Predicting Employee Churn with Supervised Machine Learning☆64Updated 4 years ago
- Some of my notebooks of Datacamp courses.☆132Updated 5 years ago
- Python solutions to solve practical business problems.☆509Updated last year
- Useful Data Science and Machine Learning Tools,Libraries and Packages☆236Updated 10 months ago
- ☆26Updated 4 years ago
- Pandas Cookbook Second Edition, published by Packt☆293Updated 2 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆53Updated 7 years ago
- Python Feature Engineering Cookbook, published by Packt☆481Updated 2 years ago
- A Portfolio of my Data Science Projects☆185Updated 6 years ago