Topic: customer-analytics Goto Github
Some thing interesting about customer-analytics
Some thing interesting about customer-analytics
customer-analytics,Trained a Probabilistic Model to forecast the frequency of purchases and how likely a customer is to churn in a given time period using their historical transaction data.
User: abhijitpai000
customer-analytics,Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.
User: abhijitpai000
customer-analytics,
User: adiputrasinaga
customer-analytics,Exploration, visualization and implementation of machine learning models on customer, transnational other such data of Toyota, Universal Bank, Wayfair, etc (R, SAS and Alteryx)
User: amritanair254
customer-analytics,# Customer-Analytics-and-Behaviour-Prediction Customer relationship management is one the most significant managerial tasks in organizations. Many companies may usually adopt a strategy that is known as target marketing. The marketing managers who may consider using target marketing will usually break the market down into groups and to target the most profitable segments. The current challenge is the effective utilisation of the data in CRM processes and selection of appropriate data analytics techniques. Hence, a prerequisite for the development of this customer-centric strategy is the specification of the target markets that the companies will attempt to serve. Therefore, this project comes forward as solution that begins by the Customer analysis which requires splitting up the customers into various segments that helps us in extracting the most profitable ones i.e. the loyal customers and then predicting their purchasing behaviour based on their past purchases.
User: aradhya29
customer-analytics,Customer Segmentation - Using k-means, About: Customer Segmentation is a popular application of unsupervised learning. Using clustering, identify segments of customers to target the potential user base. They divide customers into groups according to common characteristics like gender, age, interests, and spending habits.
User: ashendrasharma
customer-analytics,Pickl.AI’s Datathon - 4
User: azeezat123
customer-analytics,Predicting Customer Lifetime Value on a public dataset of e-commerce.
User: charles-de-montigny
customer-analytics,Bootcamp Women in Data - Bogotá, COL
Organization: cientificas-de-datos
customer-analytics,In this project we demonstrate how the RFM matrix principle can be used to investigate customer segmentation.
User: copev313
customer-analytics,In this project, the website user conversion has been studied. The dataset has over 20000 observations and 6 variables. The attributes discount, conversion, source and country are characters whereas the attributes total_pages_visited and visit_duration are numerics.
User: daa2618
customer-analytics,"Business Insights from Transaction Data" is a Python project for e-commerce and financial services to optimize customer funnel and KPIs. It involves creating synthetic data to model realistic transaction and customer data, which is then analyzed and visualized to support data-driven decision making.
User: ddsgithub
customer-analytics,This repo hosts the course content of Customer Analytics, taught at Tilburg University by George Knox last taught Fall 2022.
User: gknox79
customer-analytics,Repositori ini berisi proyek data mining yang menganalisis perilaku pelanggan di sektor perbankan, dengan fokus pada prediksi churn. Dilengkapi dengan visualisasi data dan implementasi algoritma Naive Bayes untuk analisis lebih lanjut.
User: hadiprasetiyo
customer-analytics,What are some of the best ways to prepare a large dataset for modeling? In this project, I optimized the memory usage of the dataset to ensure that it is stored as efficiently as possible to allow models to run faster.
User: hannahigboke
customer-analytics,Repositories of analytics workshop
User: hikarijadeempire
customer-analytics,This repository contains results of the completed tasks for the Quantium Data Analytics Virtual Experience Program by Forage, designed to replicate life in the Retail Analytics and Strategy team at Quantium, using Python.
User: huzaifakhan04
customer-analytics,Predicting customer churn using scikit-learn
User: jalajthanaki
customer-analytics,Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
User: jalajthanaki
customer-analytics,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.
User: jalajthanaki
customer-analytics,Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
User: joaolcorreia
customer-analytics,Customer Analytics with STP (Segmentation-Targeting-Positioning) Marketing strategy
User: jomariya23156
customer-analytics,Customer analytics project on PokemonGo
User: leonard-henriquez
Home Page: https://hqz.me/PokemonGo/
customer-analytics,Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.
User: lokesh97jain
customer-analytics,Introduction to create a CLI and custom Python package. The package contains some functions to apply RFM and BG-NBD.
User: mebaysan
customer-analytics,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 sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
User: mukulsinghal001
Home Page: https://mukulsinghal001-customer-lifetime-model-de-streamlit-app-t3zaq6.streamlit.app/
customer-analytics,R-Analysis: Identifying high value customers and low value of customers using RFM modelling
User: pareshg18
customer-analytics,Methods for doing customer analytics in R
User: peerchristensen
customer-analytics,In this report, I used social network analysis techniques to study the Huawei's customer connecting pattern. This report is based on the data from Huawei Social Network Data on Kaggle platform. Data Link: https://www.kaggle.com/datasets/andrewlucci/huawei-social-network-data
User: peijin0405
customer-analytics,Tools for Customer Segmentation using RFM Analysis
Organization: rsquaredacademy
Home Page: https://rfm.rsquaredacademy.com/
customer-analytics,web app to predict insurance bills
User: sebastian1981
customer-analytics,Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)
User: shawn-y-sun
customer-analytics,Customer segmentation, price elasticity modelling and conversion modelling.
User: sheikhomar
customer-analytics,This is an end-to-end ML project, which aims at developing a classification model for predicting if a customer for an ecommerce business will churn or not in the following month
User: shrutibalan4591
customer-analytics,Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity
User: sooyeonwon
customer-analytics,Coursera-Customer analytics
User: t-varun
customer-analytics,SQL-driven analysis and reporting for strategic insights into Excelsior Mobile's customer usage and billing data to inform business decisions
User: tainguyen42
customer-analytics,Customer targeting model to optimize promotion targeting, on simulated data from Starbucks. (work in progress)
User: tamasdinh
customer-analytics,The binary build of LEO CDP Free Edition for training purposes
User: trieu
customer-analytics,Room Reservation System focused on optimising profits and mitigating cancellations by prioritising customers
User: vikram0230
customer-analytics,The project concerns an international e-commerce company* based in the USA who want to discover key insights from their customer database. They want to use some of the most advanced machine learning techniques to study their customers.
User: vishalv91
customer-analytics,My Final Submission for the 'Santander Customer Transaction Prediction'. I have participated in this very tough and interesting competition on Kaggle a while ago and I finally got the time to put all the work together in this Repo.
User: wajdibensaad
customer-analytics,In a fictional situation I helped 2Market, a leading international supermarket chain, leverage data analytics to gain deeper customer understanding to boost sales. By analysing consumer datasets, I uncovered valuable insights into customer behaviour, sales trends, and advertising effectiveness.
User: wburto
customer-analytics,Natural language processing for NPS comments. Supervised classification
User: yurii-a
customer-analytics,Key: clustering, using logistic regression to build elasticity modeling for purchase probability, brand choice, and purchase quantity & deep neural network to build a black-box model to predict future customer behaviors.
User: zhangkelly014
customer-analytics,Key: descriptive statistics and exploratory data analysis, forecasting (linear regressions, ARMIA, Prophet), and a Tableau dashboard that delivers customer insights such as RFM analysis.
User: zhangkelly014
customer-analytics,This repo is a code demo that implements a custom Customer Retention Analysis class with a number of helpful methods/functions to generate customer churn insights frequently used for marketing analytics to understand the growth and change of your customer base (new vs retained vs lost) .
User: zhijingeu
Home Page: https://medium.com/p/1f381748e555
customer-analytics,This a simple Customer Lifetime Value analysis using Buy Till You Die Modelling With PyMC Marketing library
User: zhijingeu
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