Feedforward Neural Network for Churn Prediction

Application pour analyser et prédire le churn client avec visualisations interactives

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.

churn classification model using random forest and xgboost , prediction and deployment using streamlit

📈 Implementing clustering algorithms, it provides valuable insights that can targeted marketing strategies, improve customer relationship management.

Typescript library to access Faraday's API infrastructure for B2C predictions

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.

Banking customer churn prediction using ann

"Employee Absenteeism Analysis with Machine Learning"

Used data preprocessing and a Random Forest model to predict customer churn

Developed a Random Forest model to predict churn and a KMeans model to segment churned users into distinct behavior-based groups, providing actionable insights into general churn behaviors and patterns within each group

Churn Predictor is a Machine Learning Project which help Service provider companies to check the reliability of the customers

An end-to-end machine learning project predicting bank customer churn with a Gradient Boosting Classifier. It features a complete pipeline for data processing, model training, and real-time predictions via a Flask API. SMOTE is used for handling imbalanced data, and MLflow is integrated for model tracking.

This repository contains projects from my CognorRise Infotech internship, including customer personality analysis, salary trends by job roles, and customer churn prediction in the tour and travel industry. These projects provided data-driven insights to improve marketing strategies, career decisions, and customer retention efforts.

The Expresso Churn Prediction App is a machine learning-based web application designed to predict customer churn for Expresso, a telecommunications service provider in Africa. This project demonstrates proficiency in data preprocessing, machine learning model training, and deploying interactive web applications using Streamlit.

Machine Learning Projects - CODSOFT Internship: This repository showcases my machine learning projects completed during my internship at Codsoft. It demonstrates my skills in developing innovative solutions using various ML techniques and tools.

LG Aimers 4기 해커톤 | 온라인 8위 오프라인 9위🥇 | 이탈 예측 | 머신러닝 | 부스팅

This repository consists of Regression models

The Following Project is a Data Science Job Simulation Project provided by BCG on Forage.com. Predicting whether a customer will churn using a predictive model.