{"id":15159062,"url":"https://github.com/huseyincenik/deep_learning","last_synced_at":"2026-01-20T20:33:51.629Z","repository":{"id":206805429,"uuid":"717742825","full_name":"huseyincenik/deep_learning","owner":"huseyincenik","description":"Deep Learning #deeplearning","archived":false,"fork":false,"pushed_at":"2023-11-22T20:52:38.000Z","size":22932,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-07T16:19:51.886Z","etag":null,"topics":["deep-learning","deep-learning-tutorial","deep-neural-networks","keras","keras-neural-networks","keras-tensorflow","tensorflow","tensorflow-tutorials"],"latest_commit_sha":null,"homepage":"","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/huseyincenik.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":"2023-11-12T13:00:08.000Z","updated_at":"2023-11-18T19:35:57.000Z","dependencies_parsed_at":"2024-11-03T06:41:34.121Z","dependency_job_id":null,"html_url":"https://github.com/huseyincenik/deep_learning","commit_stats":{"total_commits":14,"total_committers":1,"mean_commits":14.0,"dds":0.0,"last_synced_commit":"d8ead58666d56e5dc65b57a163d1f17148b0d5ac"},"previous_names":["huseyincenik/deep_learning"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/huseyincenik/deep_learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fdeep_learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fdeep_learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fdeep_learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fdeep_learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/huseyincenik","download_url":"https://codeload.github.com/huseyincenik/deep_learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/huseyincenik%2Fdeep_learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28612978,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-20T18:56:40.769Z","status":"ssl_error","status_checked_at":"2026-01-20T18:54:26.653Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["deep-learning","deep-learning-tutorial","deep-neural-networks","keras","keras-neural-networks","keras-tensorflow","tensorflow","tensorflow-tutorials"],"created_at":"2024-09-26T21:01:54.767Z","updated_at":"2026-01-20T20:33:51.613Z","avatar_url":"https://github.com/huseyincenik.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Learning with Python\n\n![Deep Learning](https://theoreticalecology.github.io/machinelearning/images/AI_ML_DL.png)\n\nWelcome to the \"Deep Learning with Python\" repository! This repository is a collection of materials related to the exploration of deep learning concepts using the Python programming language.\n\n## Overview\n\nHere you will find a variety of resources including:\n\n- **Notebooks**: Jupyter notebooks covering fundamental concepts, neural network architectures, and practical applications of deep learning.\n- **Code**: Python scripts and utilities for implementing deep learning models and algorithms.\n- **Projects**: End-to-end deep learning projects showcasing applications in computer vision, natural language processing, and more.\n\n## Getting Started\n\nTo get started, feel free to explore the contents of each directory. Each directory contains its own README file with specific instructions and details about the materials it contains.\n\n## Projects\n\n| Project Name                              | Description                                | GitHub                                     | Kaggle                                       |\n|-------------------------------------------|--------------------------------------------|--------------------------------------------------------|-------------------------------------------------------|\n| Churn Prediction in Banking               | A machine learning approach to predict churn in banking data. | [GitHub](https://github.com/huseyincenik/deep_learning/tree/main/Projects/churn_prediction_in_banking) | [Kaggle](https://www.kaggle.com/code/huseyincenik/churn-prediction-in-banking-deep-learning-approach) |\n| Churn Prediction in HR Data (ML \u0026 DL)     | Churn prediction using both machine learning and deep learning approaches on HR data. | [GitHub](https://github.com/huseyincenik/deep_learning/tree/main/Projects/churn_prediction_in_hr_data_ml_dl_approach) | [Kaggle](https://www.kaggle.com/code/osmanerkekol/hr-churn-prediction-using-ml) [Kaggle](https://www.kaggle.com/code/gizemsahinkaya/hr-churn-analysis-using-dl) |\n\n## Contributing\n\nContributions are welcome! If you find any issues or have suggestions for improvement, please open an issue or submit a pull request.\n\n## Additional Resources and Sites\n\n- [Deep Learning AI](https://www.deeplearning.ai/): A platform providing online courses and resources on deep learning.\n- [TensorFlow Official Documentation](https://www.tensorflow.org/): Official documentation for TensorFlow, a popular deep learning framework.\n- [OpenAI](https://www.openai.com/): An artificial intelligence research lab focused on deep learning and AI safety.\n- [Towards Data Science on Medium](https://towardsdatascience.com/): A Medium publication featuring articles on deep learning, machine learning, and data science.\n- [Distill.pub](https://distill.pub/): A journal for research in machine learning, emphasizing clarity and accessibility.\n\nHappy learning and coding!\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuseyincenik%2Fdeep_learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhuseyincenik%2Fdeep_learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhuseyincenik%2Fdeep_learning/lists"}