kkairu / segmentation
Simple Customer Segmentation Using Recency/Monetary Matrix (RFM) in Python
☆9Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for segmentation
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago
- Segmenting consumer based buying behavior and applying 80/20 rule to identify top customers/products/geographic locations driving 80% of …☆10Updated 5 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 …☆130Updated 6 years ago
- An example of clustering applied to finding customer segments.☆19Updated 7 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆37Updated 3 months ago
- Customer segmentation using k-means clustering in python☆57Updated 6 years ago
- Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are f…☆56Updated 4 years ago
- ☆22Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- Exploratory data analysis using Python, Numpy, Pandas, Seaborn for Carsale Advertisement Dataset☆8Updated 5 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆52Updated 4 years ago
- Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-means clustering algorithm☆9Updated 4 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆71Updated 5 years ago
- Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)☆16Updated 3 years ago
- Portofolio repository for Udacity Data Scientist Nanodegree☆38Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆55Updated 2 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆97Updated 6 years ago
- Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visu…☆48Updated 5 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆67Updated 4 years ago
- Customer-base segmentation over e-commerce sales data☆24Updated 4 years ago
- The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forec…☆24Updated 5 years ago
- Live Training: Market Basket Analysis in Python☆43Updated 4 years ago
- Introduction In ecommerce companies like online retails, customer segmentation is necessary in order to understand customers behaviors. I…☆9Updated 4 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆41Updated 3 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 4 years ago
- Exploratory Data Analysis of the Automobile Data Set - UCI Machine Learning Repository - Data Science with Python - UPX Academy☆10Updated 6 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆56Updated 6 years ago
- Customer analysis and Data driven ideas☆16Updated 6 years ago
- Predicting Customer Lifetime Value☆12Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago