Involves data preprocessing, feature engineering, and model evaluation with L Customer Churn Prediction is a machine learning-based web application that predicts customer churn based on historical data. The analysis is implemented in Python, utilizing popular libraries … GitHub is where people build software. This project focuses on … Predicting customer churn using logistic regression and python - Prasha-git/Customer-Churn-Prediction This project analyzes telecom customer data to identify patterns of churn and builds predictive models to forecast which customers are likely to leave. - ratan221/Churn_Prediction Customer Churn Prediction Using Python Project Overview Customer churn is a critical issue for many businesses, especially subscription-based services and telecom companies. This project focuses on developing a machine learning model to predict customer churn. Customer churn prediction using python and machine learning - aditi24b/Customer_churn_prediction Dollar Bank Customer Churn Analysis using SQL + Python + Tableau: And end-to-end project that involved exploratory analysis with SQL, a deep-dive EDA using … using Power BI and python libraries. Includes data preprocessing, EDA, feature engineering, … This project focuses on analyzing customer churn and predicting whether a customer is likely to churn using machine learning techniques. GitHub is where people build software. Identifies key attrition drivers through data analysis and predictive modeling to provide actionable business … This project explores and visualizes customer churn patterns using the Telco Customer Churn dataset. The goal is to identify customers who are likely t Companies from these sectors often have customer service branches which attempt to win back defecting clients, because recovered long-term customers … Customer Churn Prediction This project predicts customer churn using machine learning techniques. Customer Churn Prediction using AI & Machine Learning Analyzing telecom customer churn using Python . Built with Python and deployed via Flask, this tool provides both UI-based and API-driven churn predictions. It provides a basis for building and testing … Customer Churn Prediction ML Project with Streamlit Overview This project develops a machine learning model to predict customer churn using Python. This project includes detailed … Customer Churn Prediction and Power BI Dashboard This project combines machine learning and business intelligence to identify customers at risk of churn, explain key factors influencing their … 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. It involves data loading, cleaning, exploratory data … This project aims to predict customer churn using machine learning techniques. - Odewar/customer-churn-prediction About Telco Customer Churn prediction using Python, Pandas, NumPy, Scikit-learn, Matplotlib, and Jupyter Notebook. - tranly-dev/Customer-churn-prediction. … This project focuses on analyzing and predicting customer churn using SQL and Python, supported by Tableau dashboards for visualization. Project Overview The aim of this project is to predict whether a customer will churn based on various factors using machine learning models. 🔍 Overview Customer churn is a major challenge for e-commerce companies. It uses the popular Telco Customer Churn dataset, Python, and … This is a customer churn prediction project using machine learning algorithms like Logistic Regression, Random Forest, K-Nearest Neighbors, Support Vector … GitHub is where people build software. Includes data preprocessing, feature engineering, model training, and evaluation. Contribute to galax19ksh/Customer-churn-analysis development by creating an account on GitHub. We're analyzing a dataset to understand why customers switch providers. This project includes data preprocessing, machine learning model training, and an interactive Streamlit … Dashboarding: Create insightful, interactive dashboards in Power BI to track churn by demographics, geography, services, and contract details. We joined the tables, aggregated the transaction data … End-to-end customer churn analysis project using SQL (PostgreSQL), Python (scikit-learn), and Power BI. By leveraging a logistic regression classifier, … Customer Churn Prediction App This is a machine learning project aimed at predicting customer churn for a telecom company. The goal is to help businesses … This repository contains a data-driven solution for predicting customer churn in the telecom industry using Databricks, Apache Spark, and Machine Learning. This project analyzes customer-level data from a telecom company to build predictive models for identifying customers at risk of churn. This project includes data cleaning, exploratory analysis, and building interactive dashboards to identify key churn drivers and support c Customer Churn Prediction This project focuses on predicting customer churn in the telecom industry using Python, Pandas, and Matplotlib.
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