customer-churn-prediction
There are 125 repositories under customer-churn-prediction topic.
archd3sai/Customer-Survival-Analysis-and-Churn-Prediction
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
Pradnya1208/Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
DataVisualizationExpert/Customer-Churn-Analysis-using-Power-BI
Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
satz2000/End-to-end-project---Customer-churn
End to end projects-- Customer Churning prediction using Gradient Boost Classifier Algorithm perform pre-processing steps then fit data into the Algorithm and Hyper Parameter Tunning to reduce TN & FN value to perform our model to works with a new data. Finally deploying the model using Flask API
himanshu-03/Customer-Churn-Prediction
The Customer Churn table contains information on all 7,043 customers from a Telecommunications company in California in Q2 2022. We need to predict whether the customer will churn, stay or join the company based on the parameters of the dataset.
blackbird71SR/Small-Deep-Learning-Projects
Small projects with Deep Learning magic! - Predicting Customer Churn in Banking, Predict tags on Stack Overflow, Sign Language Recognition
Lab-of-Infinity/Datatrained-Projects
Data Science Projects done at Data Trained Education during PG Data Science & ML Course
Pegah-Ardehkhani/Customer-Churn-Prediction-and-Analysis
Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library
curiousily/Customer-Churn-Detection-with-TensorFlow-js
Customer churn prediction using Neural Networks with TensorFlow.js
FirasKahlaoui/customer-churn
This project aims to predict customer churn using machine learning techniques. By analyzing historical customer data, the model identifies patterns that indicate whether a customer is likely to leave. This can help businesses take proactive measures to retain customers and reduce churn rates.
grknc/Customer-Churn-Analyzer-with-ML
Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer
ahmedshahriar/Customer-Churn-Prediction
Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
alfarias/customer-churn-prediction
Customer Churn Prediction using PyCaret.
virajbhutada/telecom-customer-churn-prediction
Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.
harishb1407/crm-using-ai-ml
Transforming CRM using AI/ML
PeterSchuld/Stanford-BUS139W-DataDrivenMarketing
Stanford Continuing Studies course "Data-Driven Marketing" by Angel Evan, Consultant. Completed Winter 2017-2018
SharathHebbar/Marketing-Analytics
Marketing Analytics
AtashfarazNavid/MachineLearing-ChurnModeling
Machine-Learning-1
ejeej/Survival_Analysis_Customers_Churn
Predicting customers' churn with survival analysis, including time-dependent variables
shrutibalan4591/E-commerce-Customer-Churn-Prediction
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
yash2189/Customer-Churn-Prediction-ML
The objective is to build a classifier for prediction of customer churn.
fatianzh/customer-churn-prediction
Hello, this is my final project with my friend when I joined Fresh Graduate Academy Program at Binar Academy in 2023.
GaneshKotaSLU/Customer-Churn-Prediction
The core purpose of this study is to find the impact of Sentiment Analysis in predicting customer churn for the e-commerce industry by employing different predictive models. Furthermore, the study is also focused on observing which model is best in a more accurate prediction for determining the churn rate of customers.
johnathon-smith/telco_churn_project
The goal of this project was to utilize classification models to predict whether or not a customer would churn. I went through the entire machine learning pipeline, discovered drivers of churn, and created many different models. Ultimately, my best Random Forest Classifier model was able to predict churned customers with an accuracy of about 80%.
Rajarshi12321/Customer-Churn
Welcome to the Customer Churn Prediction repository, which is a Customer Churn Prediction Flask app repository! This app is designed to predict customer churn a trained model with 90% accuracy.
saibattula93/Customer-churn-prediction
Developing a customer churn prediction model using machine learning techniques. The model identifies potential churners by analyzing historical customer data, aiding businesses in retaining customers and boosting satisfaction. Evaluation based on accuracy, precision, recall, and F1 score. Emphasis on data quality and relevant features.
SharathHebbar/Customer-Churn-ANN
Customer-Churn-ANN
sharmeen-k/Customer-Churn-Prediction
A logistic regression model was used from the sk-learn library to predict customer churn on a telecomms dataset. The final model yielded the following indices: Best hyperparameter 'solver' = 'liblinear'; f1 score = 0.62 and log loss = 0.65.
sharmi1206/telecom-customer-segmentation
Telecom Customer segmentation and Churn Prediction
ShehaniWageesha/Customer-Churn-Machine-Learning
Customer churn machine learning model that predicts whether a company's customers will stay with the company or not.
sylviahangnguyen/Customer-Churn-Prediction-SAS-Vyia
The purpose of this assignment is to use SAS Machine Learning Platform - SAS Vyia to explore data, preform customer segmentation and predict customer churn.
zander1268/churn-buster
This project focuses on a fictitious software company, Churn Buster, that is pitching their tool to Telecom Inc., a fictitious wireless service company. Churn Buster has built a predictive model to reduce Telecom Inc.'s customer churn
chatterjee007-dev/Deep_Learning
Showcasing advanced deep learning projects utilizing CNNs and RNNs for tasks like image classification, customer churn prediction, and fake news detection. Demonstrates expertise in data preprocessing, model building, training, and evaluation to solve real-world problems.
M3GHAN/Customer-Churn-Prediction-RFM-Logistic-Regression
This project implements a customer churn prediction model using Recency, Frequency, and Monetary (RFM) analysis. It classifies customers into "Churned" or "Retained" categories using a logistic regression model based on customer behavior. The model helps businesses identify at-risk customers and design targeted retention strategies.