Topic: customer-segments Goto Github
Some thing interesting about customer-segments
Some thing interesting about customer-segments
customer-segments,A curated list of awesome customer analytics content
Organization: acrotrend
customer-segments,Udacity Machine Learning Engineer Nanodegree Unsupervised Learning Project: Creating Customer Segments
User: adityasahastrabudhe01
customer-segments,Customer segmentation is a process where we divide the consumer base of the company into subgroups. We need to generate the subgroups by using some specific characteristics so that the company sells more products with less marketing expenditure.
User: alimdsaif3
customer-segments,My final submitted project for udacity basic ML course, customer segments
User: anshulika-prasad
customer-segments,Customer Segments - Machine Learning Nanodegree from Udacity
User: ashva7
customer-segments,We apply PCA transformations to the data and implement clustering algorithms to segment the transformed customer data
User: cakmakaf
customer-segments,RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers based on their transaction history – how recently, how often and how much did they buy. RFM helps divide customers into various categories or clusters to identify customers who are more likely to respond to promotions and also for future personalization services.
User: dionysioszelios
customer-segments,Basic RFM model to kickstart customer value segmentation. This project aims to guide the first time user to have a bouncing board into setting up their first segmentation model.
User: fvanheer
customer-segments,This project identify segments of the population that form the core customer base for a mail-order sales company in Germany. These segments can then be used to direct marketing campaigns towards audiences that will have the highest expected rate of returns. The data has been provided by Bertelsmann Arvato Analytics.
User: haataa
customer-segments,Project done in ML course
User: jetjodh
customer-segments,Customer Segmentation Anaylsis
User: jjone36
customer-segments,Creating Customer Segments for Udacity Machine Learning Engineer Nanodegree
User: josancamon19
customer-segments,Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.
User: juzershakir
Home Page: http://nbviewer.jupyter.org/github/JuzerShakir/Creating-Customer-Segemnts/blob/master/report.ipynb
customer-segments,This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.
User: klaudia-nazarko
customer-segments,This repo contains unsupervised models including the Latent Dirichlet Allocation (LDA) model applied to a corpus of research papers and a clustering analysis applied to customer segmentation.
User: marcotav
customer-segments,These are all the assignments from Udacity Nanodegree Machine Learning course
User: mayur29
customer-segments,In this project, you will work with real-life data provided to us by our Bertelsmann partners AZ Direct and Arvato Finance Solution. The data here concerns a company that performs mail-order sales in Germany. Their main question of interest is to identify facets of the population that are most likely to be purchasers of their products for a mailout campaign. Your job as a data scientist will be to use unsupervised learning techniques to organize the general population into clusters, then use those clusters to see which of them comprise the main user base for the company. Prior to applying the machine learning methods, you will also need to assess and clean the data in order to convert the data into a usable form.
User: mazen-embaby
customer-segments,Project: Creating Customer Segments using Unsupervised Learning
User: mmuppidi
customer-segments,Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments
User: moreirab
customer-segments,Customer Segmentation using Clustering (Machine Learning)
User: nano-bot01
customer-segments,
User: noreenmekky
customer-segments,This project is based on Unsupervised Learning
User: sagarpatel98
customer-segments,Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
User: sanjeevai
customer-segments,Code to perform clustering using self organizing maps on retail customer data.
User: skrohit
customer-segments,This project uses unsupervised learning techniques and decomposition methods to find meaningful structure in the data.
User: venka97
customer-segments,In this project, I will analyze a dataset containing data on various customers' annual spending amounts (reported in monetary units) of diverse product categories for internal structure. One goal of this project is to best describe the variation in the different types of customers that a wholesale distributor interacts with. Doing so would equip the distributor with insight into how to best structure their delivery service to meet the needs of each customer.
User: vishwasourab
customer-segments,Projects of Udacity's Machine Learning Specialization Nanodegree program.
User: ymubarak
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