Topic: "churn-prediction"
ragulpr/wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
Language: Python - Size: 9.11 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 771 - Forks: 189
flo7up/relataly-public-python-tutorials
Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
Language: Jupyter Notebook - Size: 96.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 124 - Forks: 90
xiaogp/customer_churn_prediction
零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结
Language: Python - Size: 205 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 58 - Forks: 17
WLOGSolutions/telco-customer-churn-in-r-and-h2o
Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Language: R - Size: 483 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 58 - Forks: 60
derrynknife/SurPyval
A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
Language: Python - Size: 23.4 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 48 - Forks: 4
awslabs/aws-customer-churn-pipeline
An End to End Customer Churn Prediction solution using AWS services.
Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 40 - Forks: 22
faradayio/faraday-js
Typescript library to access Faraday's API infrastructure for B2C predictions
Language: TypeScript - Size: 1.54 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 23 - Forks: 1
AaronWard/Churn-Modelling-Artificial-Neural-Network
Using an afticial neural network to predict customers who leave the bank.
Language: Python - Size: 254 KB - Last synced at: 5 months ago - Pushed at: over 7 years ago - Stars: 18 - Forks: 27
cloudera/CML_AMP_Churn_Prediction
Build an scikit-learn model to predict churn using customer telco data.
Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 8 days ago - Pushed at: 5 months ago - Stars: 17 - Forks: 38
blurred-machine/ANN-based-Banking-Churn-Prediction
This repository will have all the necessary files for machine learning and deep learning based Banking Churn Prediction ANN model which will analyze tha probablity for a customer to leave the bank services in near future. Deployed on Heroku.
Language: Python - Size: 603 KB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 13
neemiasbsilva/case-study-data-science
Welcome to some case study of data science projects - (Personal Projects).
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 16 - Forks: 4
imsanjoykb/Sales-and-Marketing-Analytics
This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
Language: Jupyter Notebook - Size: 19.8 MB - Last synced at: 12 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 6
Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 4
Vatshayan/Telecommunication-Final-Year-Project
Telecommunication Churn Price Prediction Project. Full Project with Code, Documents and Research papers
Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0
aws-samples/churn-prediction-with-text-and-interpretability
Predict customer churn with text and interpretability.
Language: Jupyter Notebook - Size: 545 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 4
AIshb/Graduation-Thesis-Experiment
毕业论文实验代码
Language: Python - Size: 13.9 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 2
amine-akrout/churn-prediction-web-app
Streamlit based web application for churn prediction
Language: Python - Size: 3.78 MB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 5
AliAmini93/Telecom-Churn-Analysis
Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights for targeted customer retention.
Language: Jupyter Notebook - Size: 2.52 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 7 - Forks: 0
Abhi0323/End-to-End-Employee-Churn-Prediction-with-Azure-Databricks
Developed an end-to-end machine learning solution for predicting employee churn using Azure Databricks, leveraging Spark for data processing, MLflow for managing the ML workflow, and deploying the model using Databricks model serving.
Language: Jupyter Notebook - Size: 2.56 MB - Last synced at: 6 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 5
omerfarukeker/The-Complete-Journey
The Complete Journey Dataset: Churn Prediction
Language: Jupyter Notebook - Size: 623 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 3
rishanki/Xgboost-VS-Catboost-Vs-LiteGBM
The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.
Language: Jupyter Notebook - Size: 294 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 7 - Forks: 9
nadaataiyab/diabesties
Predicting user churn for a mobile health app called Diabesties. Capstone project for Galvanize Phoenix Data Science Immersive, October 2017.
Language: Jupyter Notebook - Size: 37.8 MB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 0
shubham5027/Bank_Customer_Chrun_Prediction
Customer churn prediction is the process of using machine learning models to identify customers who are likely to leave in the near future.
Language: Jupyter Notebook - Size: 604 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0
DataScienceVibes/Churn-Modeling-Using-ANN
Churn modeling using Artificial Neural Networks (ANNs) involves building a predictive model to identify customers who are likely to churn (stop using a service or product). ANNs, a type of machine learning model inspired by the human brain's neural structure, can be effective for capturing complex patterns in data.
Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0
netisheth/Churn-Prediction-and-Analysis
Extracted live tweets of customers by using Twitter APIs to create automatic rule-based churn detection algorithm for Verizon, AT&T and T-Mobile.
Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 5
mesudepolat/Churn-Pyspark
Churn Prediction using PySpark
Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 0
ahmetcankaraoglan/Churn-Prediction-using-Machine-Learning
Language: Jupyter Notebook - Size: 2.54 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 7
deep0892/ml_modeling
Language: Jupyter Notebook - Size: 380 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0
ShowMeModel/revolut_churn_challenge
A sample churn prevention solution for an fintech app
Language: HTML - Size: 2.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2
dskarbrevik/League-of-Legends-Churn-Prediction
New player churn in Riot's League of Legends
Language: Jupyter Notebook - Size: 15.2 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 5 - Forks: 3
a-memme/Customer_Churn_and_CLTV
BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business
Language: Jupyter Notebook - Size: 2.51 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 4 - Forks: 1
vishal815/Customer-Churn-Prediction-using-Artificial-Neural-Network
This project involves building an Artificial Neural Network (ANN) for predicting customer churn. The dataset used contains various customer attributes, and the ANN is trained to predict whether a customer is likely to leave the bank.
Language: Jupyter Notebook - Size: 313 KB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 1
sawadogosalif/Retail-360
Customers knowledge, supply chain movement and sales forecasting, Customer Lifetime value, churn and survival analysis
Language: Python - Size: 5.79 MB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0
AbhishekGit-hash/Customer-Churn-Prediction-Model-with-XGBoost
The goal of this project is to develop a predictive model that will predict the customers likely to churn and propose a strategic perspective to decrease the churn rate.
Language: Jupyter Notebook - Size: 5.79 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1
arnav1312/TELECOM_ANALYSIS
Feature Engineering and Churn Prediction on Telecom data
Language: Jupyter Notebook - Size: 254 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 7
deborabmfreitas/projeto-churn-classificacao
Projeto de predição de churn utilizando algoritmos de classificação. Ao final do projeto, foi entregue um modelo de machine learning que consegue prever o churn dos clientes futuros e, também, foi dada uma lista com os atuais clientes que estão em maior risco de churn.
Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
AshNumpy/DL-Churn-Analysis
Churn rate analysis with artificial neural network.
Language: Jupyter Notebook - Size: 593 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
wondamo/Data-Science-Projects
This repo contains my data science projects
Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
Koldim2001/Binary_classification_of_users
Бинарная классификация пользователей образовательной платформы Stepic на тех, кто скорее всего пройдет курс до конца и тех, кто скорее всего покинет платформу. Модель способна давать предсказания по анализу поведения юзеров на сайте за первые 3 дня
Language: Jupyter Notebook - Size: 675 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
SudhanshuBlaze/Churn_Prediction
Data set: https://www.kaggle.com/c/customer-churn-prediction-2020/
Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
urbanclimatefr/telecom-customer-churn-prediction
Supervised learning algorithm was used to build churn prediction model to help solve a telecoms company's customer churn problem.
Language: Jupyter Notebook - Size: 1.78 MB - Last synced at: 23 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 2
d0r1h/Churn-Analysis
Customer Churn Analysis for a website
Language: Jupyter Notebook - Size: 6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1
jackmleitch/CustomerChurn
:recycle: :telephone_receiver: Predicting whether a customer will change telecommunications provider and tracking experiments with mlflow
Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2
naveenmarthala/Telecom-Churn-Analysis-and-Prediction
crowd analytix competition
Language: R - Size: 257 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1
JUGG097/Logistic-Regression-Starter-Notebook
This repository contains a starter notebook for the DSN PreBootcamp Expresso Churn Hackathon
Language: Jupyter Notebook - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 7
advaitsave/Churn-Classification-Model-Selection
A comprehensive Churn Classification solution aimed at laying out the steps of a classification solution, including EDA, Stratified train test split, Training multiple classifiers, Evaluating trained classifiers, Hyperparameter tuning, Optimal probability threshold tuning, model comparison, model selection and Whiteboxing models for business sense. (Python)
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 2
mohan-aditya05/telecom_churn_classification
The goal of this study is to apply analytical techniques to predict a customer churn and analyse the churning and non-churning customers by using data from an internet connection company.
Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 3 - Forks: 0
helderm/churnr
A churn prediction study over data from a music streaming service
Language: Jupyter Notebook - Size: 134 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 3
pyramidheadshark/customer-churn-interactive-research
Interactive customern churn research utilizing lightgbm made for practice
Language: Jupyter Notebook - Size: 5.94 MB - Last synced at: 2 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 0
SINGHxTUSHAR/Client-Retention-Insight
Client-Retention-Insight is a churn classification project to predict whether the customer will Exited or not using the ANN implementation by tensorflow. We have also performed regression on the EstimatedSalary feature and done the HyperparameterTunning to find the best possible parameters for the model.
Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: 19 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
akarshankapoor7/End-to-End-Churn-Analysis-Project-My-SQL-Power-BI-ML-
This project analyzes telecom customer churn using an ETL pipeline in SQL Server, Power BI dashboards, and a Random Forest model in Python. It identifies at-risk customers and key churn drivers. Insights enable targeted retention strategies.
Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
abhiverse01/CODSOFT-INTERN
This repository contains the projects I worked on during my Codsoft internship. Each project focuses on a different machine learning problem, including credit card fraud detection, customer churn prediction, movie genre classification, and SMS spam detection.
Language: Jupyter Notebook - Size: 756 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
abrahamkoloboe27/Churn-Prediction-and-Analysis-Project
Application pour analyser et prédire le churn client avec visualisations interactives
Language: Python - Size: 3.99 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 2 - Forks: 1
sinanazem/churn-prediction
Language: Jupyter Notebook - Size: 389 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0
kevin-titi/Game_Analytics_D14_Retention_Prediction
A predictive model for player retention/churn on day-14 after game installation based on features such as in-game metrics, user behavior, and engagement patterns to identify players at risk of churning, accurately predicting 65% of all retention within the top 6% of total population.
Language: Jupyter Notebook - Size: 3.73 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
S-iddharth/NeuroNexus
This repository contains 2 ML projects for my internship under NeuroNexus Innovations.
Language: Python - Size: 311 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
YangLei2586/Python_Machining_Learning_Customer_Churn_Prediction
A model for customer churn prediction
Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1
ohmthanap/Churn-Predictions-Telecom-Customer
Developed a churn prediction classification model using various techniques including: EDA, Decision trees, Naive Bayes, AdaBoost, MLP, Bagging, RF, KNN, logistic regression, SVM, Hyperparameter tuning using Grid Search CV and Randomized Search CV.
Language: Jupyter Notebook - Size: 28.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
KindlyGentleman/DS-DA-Bank-Churn-Prediction
This repo contains a machine learning project for predicting bank customer churn using XGBoost. It includes data preprocessing, model training, and deployment as an API and Streamlit app in a Docker container. The repo also contains a report and images documenting the project.
Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
crypter70/Bank-Customer-Churn-Prediction
The project aims to find deep insights into bank customer data and develop the best-performing churn prediction model.
Language: Jupyter Notebook - Size: 2.71 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
DiweiZhu501/Python-DataScience-ML
Data Science and Machine Learning projects based on Python
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
Er-Devanshu/Churn-Prediction
Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
VineetDabholkar2002/Customer-Churn-Predictor
A end to end project with with EDA done on PowerBI deployed on Heroku which predicts if the Customer would Churn or not by using Random Forests Classifier as its model
Language: Jupyter Notebook - Size: 9.43 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1
chris820629/Bank-Customer-Churn
Supervised Machine Learning for potential churn customer prediction
Language: Jupyter Notebook - Size: 23.5 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
olucaslopes/customer-churn-analysis
Análise e predição do Churn de clientes de uma empresa de Telecomunicações.
Language: Jupyter Notebook - Size: 8.53 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 1
dixitamol/telecom_customer_churn_analysis
Customer Churn project for a telecom firm. The project aims to predict the possibility of a customer to churn by using methods of Data Analysis and Machine Learning with sound accuracy and justifies its result by showing the expected cost-benefit from following their recommendations.
Language: R - Size: 1.81 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
MahalakshmiAdabala/Churn-Prediction-for-Bank-Customers
An End-to-End Data Science Project: Churn Prediction for Bank Customers
Language: Jupyter Notebook - Size: 7.69 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
MUZAMMILPERVAIZ/Customer_Churn_Prediction_using_Neural_Network
Bank Customers Churn Prediction using Artificial Neural Network.
Language: Jupyter Notebook - Size: 387 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
TayJen/Customer-Churn-Prediction
Customer Churn Prediction with data from Kaggle
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duartejr/challenge_data_science_alura_voz
Challenge de Data Science da Alura - Alura-Voz
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manugaco/use_cases
Users business cases in python
Language: Jupyter Notebook - Size: 172 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
markdavidmc0/churning-mists
Customer churn train/prediction library with automatic dataset size optimisation features.
Language: Python - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
rohit-chandra/Customer_Churn_Analysis
Customer churn prediction for telecom dataset
Language: Jupyter Notebook - Size: 28.6 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 9
babaniyi/BCG
Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.
Language: Jupyter Notebook - Size: 4.14 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 2
manvimadandotai/Customer-Churn-Prediction
This repository contains the implementation of Churn Prediction model on Telco dataset.
Language: Jupyter Notebook - Size: 2.3 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
aadimangla/Churn-Modelling-for-a-Bank
A churn model is a mathematical representation of how churn impacts your business. Churn calculations are built on existing data (the number of customers who left your service during a given time period). A predictive churn model extrapolates on this data to show future potential churn rates.
Language: Python - Size: 5.8 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
raunak274/Churn_Analysis
Importance of churn Analysis and some concept upon it
Language: Jupyter Notebook - Size: 405 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
mriffaud/Telco-Customer-Churn
Predicting telephone company churn
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1
m-rbn/data-science-portfolio
Portfolio of my Data Science projects
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rorycawley/MSc-Dissertation
DissertationCA2
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ReverendBayes/Telecom-Churn-Predictor
Predicts which customers are likely to churn using engineered telecom usage, billing, and engagement features. Includes quantile bucketing, full feature encoding, stratified train/test split, and reproducible training pipeline. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.
Language: Python - Size: 219 KB - Last synced at: about 10 hours ago - Pushed at: about 10 hours ago - Stars: 1 - Forks: 0
Halsted312/smurphcast
SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.
Language: Python - Size: 85 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0
felipesbonatti/case-churn
Estudo de caso sobre previsão de churn em um serviço de streaming, utilizando machine learning e análise não supervisionada para identificar padrões e reduzir a evasão de clientes.
Language: Jupyter Notebook - Size: 229 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0
sreyash1mohanty/E-COMMERCE_MARKETING_MACHINE_LEARNING
Machine Learning in Marketing using various machine learning algorithms.
Language: Jupyter Notebook - Size: 4.34 MB - Last synced at: 23 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0
Aduobey/Telecom-Churn-Prediction
A machine learning project for predicting customer churn in the telecom industr
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subhanu-dev/Customer-Churn-Prediction---Bank
Bank Customer Churn Prediction Model for an European Bank
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abubakarp789/Churn_Predictor
Churn Predictor is a Machine Learning Project which help Service provider companies to check the reliability of the customers
Language: HTML - Size: 5.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 3
chicolucio/churn-prediction
Predicting customer churn with machine learning
Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
jamesehiabhi/ConnectTel-Churn-Prediction
Customer Churn Prediction: Unlocking Retention Strategies with Data Science
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Stephen-Adwini-Badu/10.-Bank-Churn-Project
This project aims to predict customer churn in a banking environment using machine learning models. The goal is to identify patterns in customer behavior that lead to churn and use predictive analytics to classify customers as churners or non-churners.
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Stephen-Adwini-Badu/05.-BCG-X-Project
This project involved developing a Random Forest classifier to predict user churn. The work included plotting feature importance to identify key factors influencing churn and evaluating metrics to assess the model's performance. The insights gained from this project were used to develop strategies to improve user retention.
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Stephen-Adwini-Badu/01.-Waze-Project
This project involved analyzing user data from Waze, to predict user churn and propose business solutions to retain users. The project utilized various data analytics techniques, machine learning models, and feature engineering. The goal was to identify factors contributing to user churn and develop strategies to improve user retention
Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
MadScie254/customer_churn
A dynamic and interactive web app for predicting customer churn using machine learning, with a user-friendly interface built with Streamlit. The app utilizes an XGBoost classifier to make churn predictions and provides real-time feedback with engaging animations.
Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
ndumbe0/ML-MODELS-and-EDA-Streamlit
Streamlit app deplyment of the models and an overview of the EDA process
Language: Python - Size: 274 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
Onome-Joseph/Customer-Churn-Prediction
This project predicts whether a customer is likely to stop patronizing a business by making use of historical customer data.
Language: Jupyter Notebook - Size: 1.53 MB - Last synced at: 16 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
sanskaryo/Churn-Prediction-Using_ANN
Banking customer churn prediction using ann
Language: Jupyter Notebook - Size: 466 KB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
Gustavo-michel/Churn-BankCostumer-Predict
Data analysis and churn prevent algorithm for a bank dataset with Machine Learning and deployment
Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
Md-Emon-Hasan/ML-Project-Customer-Segmentation
📈 Implementing clustering algorithms, it provides valuable insights that can targeted marketing strategies, improve customer relationship management.
Language: Jupyter Notebook - Size: 31.5 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
SunnyBibyan/Customer_Churn_Prediction
This project aims to build a predictive model that helps identify customers at risk of churning (leaving the service) in a telecommunications company. By leveraging machine learning techniques, we can help businesses take preemptive actions to retain valuable customers and reduce churn rates.
Language: Jupyter Notebook - Size: 740 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
brendadenisse16/From-Scratch-Logistic-Regression-and-Decision-Trees-for-Churn-Prediction
Churn prediction for banking customers using logistic regression and decision trees, implemented from scratch in R.
Language: R - Size: 273 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
