iris9112 / Customer-Segmentation
Learn real-world techniques on customer segmentation and behavioral analytics, using a real dataset containing customer transactions from an online retailer.
☆27Updated 6 years ago
Alternatives and similar repositories for Customer-Segmentation:
Users that are interested in Customer-Segmentation are comparing it to the libraries listed below
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆40Updated 8 months ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆22Updated 5 years ago
- Unsupervised Clustering on Online Retail Dataset☆31Updated 6 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 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…☆144Updated 2 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- customer lifetime value BG/NBD model☆17Updated 3 years ago
- Portofolio repository for Udacity Data Scientist Nanodegree☆41Updated 4 years ago
- Complete machine learning analysis to solve marketing problems.☆18Updated 7 years ago
- Live Training: Market Basket Analysis in Python☆45Updated 4 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 …☆134Updated 7 years ago
- ☆97Updated 3 years ago
- Project work for Udacity's AB Testing Course☆82Updated 7 years ago
- Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.☆80Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆65Updated last year
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆47Updated 4 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 6 years ago
- Customer Segmentation Analysis with RFM, using Python and Power BI.☆25Updated 3 years ago
- Twitter Sentiment Analysis☆26Updated 3 years ago
- Hands-On Data Science for Marketing, published by Packt☆243Updated 2 years ago
- Notebook to walk through Bayesian testing with Kaggle data☆39Updated 3 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆139Updated 4 years ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆82Updated 2 years ago
- NLP Multi-class classifcation of hotel reviews, with demo app. Please check README for more details.☆9Updated 8 months ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 4 years ago
- ☆31Updated 10 months ago