A curated list of awesome customer analytics content
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Nov 27, 2017
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customer-segments
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This project is based on Unsupervised Learning
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Jan 8, 2019 - Jupyter Notebook
This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.
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Jan 27, 2020 - Jupyter Notebook
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 promot...
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Oct 18, 2017 - Jupyter Notebook
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.
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Jun 22, 2018 - Jupyter Notebook
Customer Segmentation Anaylsis
visualization marketing data-analysis cohort customer-segments customer-segmentation-analysis rfm-values
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May 31, 2019 - Jupyter Notebook
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.
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Feb 23, 2020 - Python
Customer Segmentation using Clustering (Machine Learning)
machine-learning clustering machine-learning-algorithms jupyter-notebook ml segmentation k-means clustering-algorithm k-means-implementation-in-python k-means-clustering customer-segments customer-segmentation customer-segmentation-analysis ml-models ankit-nainwal nano-bot01
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Mar 2, 2023 - Jupyter Notebook
These are all the assignments from Udacity Nanodegree Machine Learning course
udacity-course energy-monitor udacity-nanodegree boston-housing-price-prediction energy-efficiency udacity-machine-learning-nanodegree appliance-monitor customer-segments capstone-project udacity-machine-learning dog-breed-classifier
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Jul 6, 2023 - Jupyter Notebook
Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.
python udacity numpy scikit-learn pandas data-visualization seaborn feature-selection pca classification gaussian-mixture-models matplotlib silhouette unsupervised-learning data-exploration machine-learning-nanodegree unsupervised-machine-learning machine-learning-tutorials k-means-clustering customer-segments
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Sep 30, 2018 - HTML
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.
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Dec 8, 2020 - Jupyter Notebook
Code to perform clustering using self organizing maps on retail customer data.
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Apr 1, 2018 - Python
We apply PCA transformations to the data and implement clustering algorithms to segment the transformed customer data
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Jan 23, 2019 - Jupyter Notebook
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.
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Jul 1, 2019 - Jupyter Notebook
Machine Learning Engineer Nanodegree, Unsupervised Learning, Creating Customer Segments
udacity clustering data-visualization pca dimensionality-reduction segmentation unsupervised-learning gmm gaussian-mixture-model udacity-nanodegree principal-component-analysis clustering-algorithm feature-scaling feature-transformation biplot data-recovery udacity-machine-learning-nanodegree k-means-clustering customer-segments customer-segmentation
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Jan 6, 2019 - HTML
This project uses unsupervised learning techniques and decomposition methods to find meaningful structure in the data.
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Aug 14, 2017 - Jupyter Notebook
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 mail...
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Jun 2, 2022 - HTML
Creating Customer Segments for Udacity Machine Learning Engineer Nanodegree
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Apr 2, 2019 - Jupyter Notebook
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.
sklearn prediction feature-selection data-visualisation pca unsupervised-learning cluster-data ica customer-segments natural-categories
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Feb 12, 2018 - HTML
Projects of Udacity's Machine Learning Specialization Nanodegree program.
python machine-learning reinforcement-learning deep-learning supervised-learning unsupervised-learning machine-learning-nanodegree smartcab boston-housing customer-segments classify-dog-breeds titanic-passengers
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Dec 20, 2018 - Jupyter Notebook
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