{"id":25748433,"url":"https://github.com/jaymax01/bank-customer-classification","last_synced_at":"2026-05-15T04:31:54.944Z","repository":{"id":220549648,"uuid":"751889643","full_name":"jaymax01/bank-customer-classification","owner":"jaymax01","description":"Deployment of classification algorithms for customer classification","archived":false,"fork":false,"pushed_at":"2024-02-02T17:21:36.000Z","size":16392,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-02-03T18:01:08.714Z","etag":null,"topics":["knn-classification","pandas","python3","sklearn-library","streamlit-webapp","vscode","xgboost-classifier"],"latest_commit_sha":null,"homepage":"","language":"Python","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/jaymax01.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}},"created_at":"2024-02-02T14:52:27.000Z","updated_at":"2024-02-02T17:33:15.000Z","dependencies_parsed_at":"2024-02-02T17:59:00.374Z","dependency_job_id":null,"html_url":"https://github.com/jaymax01/bank-customer-classification","commit_stats":null,"previous_names":["jaymax01/bank-customer-classification"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fbank-customer-classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fbank-customer-classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fbank-customer-classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fbank-customer-classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jaymax01","download_url":"https://codeload.github.com/jaymax01/bank-customer-classification/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240851625,"owners_count":19868079,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["knn-classification","pandas","python3","sklearn-library","streamlit-webapp","vscode","xgboost-classifier"],"created_at":"2025-02-26T12:28:33.450Z","updated_at":"2026-05-15T04:31:49.917Z","avatar_url":"https://github.com/jaymax01.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Classifying convertion rates for bank customers\n\n*The project involved the analysis and the classification of Thera Bank's customers with a liability account towards understanding a more optimized way of running their advertising campaign to get the customers to subscribe to the Bank's loan account. A better understanding of the customer's information would give the Bank better insights on improving their advertising campaign results from the previous year.*  \n\n## Project Outline\n\nExploratory data analysis\n\nVisualization of the customers' data\n\nModel training and evalutions\n\nRecommendations and deployment\n## Installation\n\nThe following python libraries are used for the project\n\n* matplotlib\n* seaborn\n* pandas\n* numpy\n* streamlit\n* scikit learn\n* xgboost\n\n\n## Deployment\n\n*To run the application download the project files into a single folder or directory and use a python IDE like visual studio to open the python file. Run the command to start up the app in your browser.*\n\n```bash\n  streamlit run Streamlit app.py\n```\n\n\n## Screenshots\n\n![App Screenshot](https://github.com/jaymax01/bank-customer-classification/blob/main/screenshot-localhost_8501-2024.02.02-20_07_18.png?raw=true)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaymax01%2Fbank-customer-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjaymax01%2Fbank-customer-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaymax01%2Fbank-customer-classification/lists"}