Topic: churn-prediction Goto Github
Some thing interesting about churn-prediction
Some thing interesting about churn-prediction
churn-prediction,BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business
User: a-memme
churn-prediction,Using an afticial neural network to predict customers who leave the bank.
User: aaronward
churn-prediction,Churn Prediction using PySpark
User: abduygur
Home Page: https://abduygur.medium.com/churn-prediction-using-pyspark-a1f4ef0439b3
churn-prediction,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.
User: abhi0323
churn-prediction,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.
User: abhishekgit-hash
churn-prediction,business analytics course homework assignments
User: actuallyykatie
churn-prediction,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)
User: advaitsave
churn-prediction,
User: ahmetcankaraoglan
churn-prediction,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.
User: aliamini93
churn-prediction,Streamlit based web application for churn prediction
User: amine-akrout
churn-prediction,Feature Engineering and Churn Prediction on Telecom data
User: arnav1312
churn-prediction,Churn rate analysis with artificial neural network.
User: ashnumpy
churn-prediction,Predict customer churn with text and interpretability.
Organization: aws-samples
churn-prediction,An End to End Customer Churn Prediction solution using AWS services.
Organization: awslabs
Home Page: https://awslabs.github.io/aws-customer-churn-pipeline/
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.
User: blurred-machine
Home Page: https://banking-churn-pediction.herokuapp.com
churn-prediction,Artificial Neural Network Classification
User: brian-kipkoech-tanui
churn-prediction,Build an scikit-learn model to predict churn using customer telco data.
Organization: cloudera
churn-prediction,Customer Churn Analysis for a website
User: d0r1h
Home Page: https://churn01.herokuapp.com/
churn-prediction,Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
User: datavisualizationexpert
churn-prediction,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.
User: derrynknife
Home Page: https://surpyval.readthedocs.io/en/latest/index.html
churn-prediction,New player churn in Riot's League of Legends
User: dskarbrevik
Home Page: https://dskarbrevik.github.io/League-of-Legends-Churn-Prediction/
churn-prediction,This project aims to leverage big data technologies to help OTT platforms predict churn at a customer level in real-time. We use Amazon S3 as the data storage, Databricks for data processing, spark MLlib for machine learning, and Amazon Quicksight for visualization.
User: evelyncy96
churn-prediction,A Capstone Project implementing Big Data concepts using Apache Spark
User: faisal-aldhuwayhi
Home Page: https://medium.com/@alduohy11/predicting-customer-churn-using-apache-spark-3672470f8fe1
churn-prediction,Typescript library to access Faraday's API infrastructure for B2C predictions
Organization: faradayio
Home Page: https://faraday.ai/developers/reference
churn-prediction,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.
User: flo7up
Home Page: https://www.relataly.com
churn-prediction,Churn prediction project
User: hololovich
churn-prediction,This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
User: imsanjoykb
Home Page: https://imsanjoykb.github.io/
churn-prediction,:recycle: :telephone_receiver: Predicting whether a customer will change telecommunications provider and tracking experiments with mlflow
User: jackmleitch
churn-prediction,A churn prediction app built with Gradio and wrapped around a machine learning model
User: kodoi-oj
churn-prediction,Churn Prediction using PySpark
User: mesudepolat
churn-prediction,Machine Learning to predict the possibility of customer churning
User: msopranointech
churn-prediction,Predicting user churn for a mobile health app called Diabesties. Capstone project for Galvanize Phoenix Data Science Immersive, October 2017.
User: nadaataiyab
churn-prediction,Welcome to some case study of data science projects - (Personal Projects).
User: neemiasbsilva
churn-prediction,Extracted live tweets of customers by using Twitter APIs to create automatic rule-based churn detection algorithm for Verizon, AT&T and T-Mobile.
User: netisheth
churn-prediction,The Complete Journey Dataset: Churn Prediction
User: omerfarukeker
churn-prediction,Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
User: pegah-ardehkhani
churn-prediction,WTTE-RNN a framework for churn and time to event prediction
User: ragulpr
churn-prediction,A project demonstrating how to predict customer churn based on product usage behaviours.
User: richhuwtaylor
churn-prediction,The python notebook is on googles new collabatory tool. Its a churn model being run on 3 different algorithms to compare.
User: rishanki
churn-prediction,Customers knowledge, supply chain movement and sales forecasting, Customer Lifetime value, churn and survival analysis
User: sawadogosalif
churn-prediction,A sample churn prevention solution for an fintech app
Organization: showmemodel
churn-prediction,Customer churn prediction is the process of using machine learning models to identify customers who are likely to leave in the near future.
User: shubham5027
churn-prediction, 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.
User: tanwar-12
churn-prediction,Customer Churn Analysis in R: Logistic, Classification Tree, XGBoost, Random Forest.
User: trajceskijovan
churn-prediction,Telecommunication Churn Price Prediction Project. Full Project with Code, Documents and Research papers
User: vatshayan
Home Page: https://www.finalproject.in/
churn-prediction,Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)
Organization: wlogsolutions
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
User: xiaogp
churn-prediction,
User: yanxiali
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