NeiloeIA's starred repositories
Bank-Churn-Prediction
Bank customers churn dashboard with predictions from several machine learning models.
Python
This repository showcases a Python project using Machine learning Algorithms/ Models on Churn Analysis in the telecommunication industry. By leveraging Machine Learning techniques, I strive to help telecom providers reduce churn rates, improve customer retention, and make data-driven decisions.
Churn-Modeling-with-Decision-Trees
This repository is dedicated to churn modeling using decision trees, a popular machine learning algorithm for classification problems. Churn modeling refers to the task of predicting customer churn, which is the phenomenon of customers ceasing their relationship with a business or service provider.
churn_prediction
Churn prediction model for practicing, based on Kaggle's telecom dataset.
ChurnModel
Churn prediction model for a home internet telecommunications provider using tensorflow and keras in Python.
CustomerChurnAnalysis
Project to analyze and predict which customers will leave or stay with company. Uses Deep Learning with Artificial Neural Networks to predict customer leave/stay probability. This gives the business valuable insights into where they need to address customers that have a high probability of leaving. This model has been turned and reaches and accuracy rate of ~87% with its predictions of unseen data.
mlops-predict-churn-clean-code
Build a customer churn prediction model using clean code principles
subscriber_churn_demo
Coalesce 2022 demo for dbt Snowpark Python models
Churn-Rate-Modelling
Churn’s prediction could be a great asset in the business strategy for retention applying before the exit of customers.