Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python. Opensource analytics, predictive analytics over clickstream, sentiment analysis, machine learning, and Monte Carlo Markov Chain simulations framework over Pandas, Networkx and sklearn.

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

Sample notebooks for Kaggle competitions

Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.

Showcase for using H2O and R for scoring for marketing campaign in retail

Recency, Frequency & Monetary Value Analysis

Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are fulfilled. Apply K-means clustering algorithm in order to segment customers.

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Unsupervised ML: Finding Customer Segments in General Population

Customer segmentation using k-modes unsupervised clustering

Using unsupervised learning methods to help business better understand customers

Udacity Data Science Nanodegree program, unsupervised learning, identify customers segments

generalized code used in my master thesis

Simple example code to show how to do customer segmentation. Enjoy it!

Customer-base segmentation over e-commerce sales data

Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment

Machine Learning Engineer Nanodegree Program On Udacity

Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-MEANS clustering algorithm

We bridge the AI gap for you

Unsupervised learning techniques applied on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

Customer segmentation, price elasticity modelling and conversion modelling.

This repository contains code for my Machine Learning Basic Nanodegree Project.

Master's Project - Clustering Problem

Analyse customer segmentation, sentiment on product review, and built a product recommender system

All my projects and interests related to Data Science and Machine learning

Identify customer segments using unsupervised ML

Regression , Classification and Segmentation projects