Skip to content
#

customerchurn

Star

Here are 20 public repositories matching this topic...

Language: All
Filter by language
All 20 Jupyter Notebook 13 Python 1 R 1
Sort: Most stars
Sort options
Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated

mmuzammil196 / ChurnANNalyzer-Customer-Churn-Prediction-Using-ANN

Star 3

ChurnANNalyzer is a customer churn prediction project that utilizes Artificial Neural Network (ANN) algorithm. The project aims to analyze and predict customer churn in a given dataset.

python education machine-learning deep-neural-networks ai deep-learning learning-python machine-learning-algorithms annotations deep-reinforcement-learning artificial-intelligence openai deep-learning-algorithms artificial-neural-networks algorithms-and-data-structures customerchurn openai-api gpt-4 openai-chatgpt
  • Updated Jun 5, 2023
  • Jupyter Notebook

dixitamol / telecom_customer_churn_analysis

Star 2

Customer Churn project for a telecom firm. The project aims to predict the possibility of a customer to churn by using methods of Data Analysis and Machine Learning with sound accuracy and justifies its result by showing the expected cost-benefit from following their recommendations.

machine-learning r random-forest linear-regression keras telecom neural-networks supervised-learning classification gpu-acceleration logistic-regression decision-trees keras-neural-networks churn-prediction rprogramming customerchurn
  • Updated Jan 1, 2023
  • R

DataNomadX / Customer-Retention-and-Service-Optimization-

Star 1

By undertaking this project, the company aims to gain valuable insights into customer behavior, enhance service quality, and implement targeted strategies for customer retention and satisfaction. The findings will contribute to informed decision-making and the development of customer-centric business strategies.

analysis data-visualization powerbi datacleaning customerchurn churn-analysis customerr
  • Updated Jan 3, 2024

abhay-ak-kulkarni / Customer_Churn

Star 0

Customer Churn is a burning problem for Telecom companies. In this project, we simulate one such case of customer churn where we work on a data of postpaid customers with a contract. The data has information about the customer usage behaviour, contract details and the payment details. The data also indicates which were the customers who cancelle…

naive-bayes logistic-regression knn-classification customerchurn naivebayesclassifier
  • Updated Jul 6, 2020

mayssakorbi / Predictive-analysis-of-customer-churn-in-the-telecommunications-sector

Star 0

This project involved analyzing 10,000 customer records, applying data preparation techniques, and training supervised machine learning models, achieving 94% accuracy. Model efficiency was further refined using cross-validation and hyperparameter tuning, ensuring reliability and performance

predictive-analytics prediction-model customerchurn telecom-churn-prediction
  • Updated Dec 14, 2023
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the customerchurn topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the customerchurn topic, visit your repo's landing page and select "manage topics."

Learn more