{"id":24520410,"url":"https://github.com/prince2004patel/customer-churn-ann-classification","last_synced_at":"2026-04-09T02:02:41.987Z","repository":{"id":272936534,"uuid":"918225999","full_name":"prince2004patel/Customer-Churn-ANN-Classification","owner":"prince2004patel","description":null,"archived":false,"fork":false,"pushed_at":"2025-01-17T14:28:59.000Z","size":459,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2026-01-03T17:15:53.286Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://customer-churn-ann-classification-by-prince.streamlit.app/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/prince2004patel.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-01-17T13:57:31.000Z","updated_at":"2025-01-29T16:06:13.000Z","dependencies_parsed_at":"2025-01-17T15:26:23.350Z","dependency_job_id":"12c25dcd-37fb-49b5-b9fc-095a940eb298","html_url":"https://github.com/prince2004patel/Customer-Churn-ANN-Classification","commit_stats":null,"previous_names":["prince2004patel/customer-churn-ann-classification"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/prince2004patel/Customer-Churn-ANN-Classification","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prince2004patel%2FCustomer-Churn-ANN-Classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prince2004patel%2FCustomer-Churn-ANN-Classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prince2004patel%2FCustomer-Churn-ANN-Classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prince2004patel%2FCustomer-Churn-ANN-Classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/prince2004patel","download_url":"https://codeload.github.com/prince2004patel/Customer-Churn-ANN-Classification/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/prince2004patel%2FCustomer-Churn-ANN-Classification/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31581864,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-08T14:31:17.711Z","status":"online","status_checked_at":"2026-04-09T02:00:06.848Z","response_time":112,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-neural-networks","customer-churn-prediction","keras","machine-learning","python","streamlit","tensorflow"],"created_at":"2025-01-22T02:22:33.291Z","updated_at":"2026-04-09T02:02:41.970Z","avatar_url":"https://github.com/prince2004patel.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Customer Churn ANN Classification\n\n## Live Demo :-\n[![Streamlit App](https://img.shields.io/badge/Streamlit-App-blue)](https://customer-churn-ann-classification-by-prince.streamlit.app/)\n\n## Basic Steps :-\n\n### 1. Forward and Backward Propagation\n\n- **Forward Propagation**: Passes the input data through the network to generate the output.\n- **Backward Propagation**: Computes the gradient of the loss function with respect to each weight by the chain rule, updating weights to minimize the loss.\n\n### 2. Loss Functions\n\n- **Binary Cross-Entropy**: Used for binary classification tasks, measures the difference between the predicted probabilities and the actual labels.\n\n### 3. Optimizers\n\n- **Adam Optimizer**: Combines the best properties of the AdaGrad and RMSProp algorithms to handle sparse gradients and non-stationary objectives.\n\n### 4. Activation Functions\n\n- **ReLU (Rectified Linear Unit)**: Introduces non-linearity into the model, helps the network learn complex patterns.\n- **Sigmoid**: Squashes output to a range between 0 and 1, suitable for binary classification.\n\n## Project Overview :-\n\nThis project classifies customer churn using an Artificial Neural Network (ANN). It takes input features about customers and predicts the probability of churn.\n\n## Setup Instructions :-\n\n### 1. Clone the Repository\n\nTo clone the repository, use the following command:\n\n```bash\ngit clone https://github.com/prince2004patel/Customer-Churn-ANN-Classification.git\n```\n\n### 2. Install Dependencies:\n\n1. Ensure you are in the project directory:\n   \n```bash\ncd Customer-Churn-ANN-Classification\n```\n\n2. Install all necessary Python libraries:\n\n```bash\npip install -r requirements.txt\n```\n\n### 3. Run The Application :-\n\nStart the Streamlit app:\n\n```bash\npip install -r requirements.txt\n```\n\n## Some Screenshots\n\n![Customer Churn ANN Classification](img1.png)\n\n\n![Customer Churn ANN Classification](img2.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprince2004patel%2Fcustomer-churn-ann-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprince2004patel%2Fcustomer-churn-ann-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprince2004patel%2Fcustomer-churn-ann-classification/lists"}