{"id":26914680,"url":"https://github.com/lovnishverma/slidespptspdfs","last_synced_at":"2026-02-07T04:31:59.286Z","repository":{"id":283369714,"uuid":"951509366","full_name":"lovnishverma/Slidespptspdfs","owner":"lovnishverma","description":"Pdfs For Learning Python, DBMS, Big Data and Data Science AIML and much more...","archived":false,"fork":false,"pushed_at":"2025-07-02T16:33:07.000Z","size":60883,"stargazers_count":16,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-19T22:57:10.419Z","etag":null,"topics":["aiml","airtificialintelligence","bigdata","datascience","machine-learning","nosql-database"],"latest_commit_sha":null,"homepage":"https://github.com/lovnishverma/Slidespptspdfs","language":null,"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/lovnishverma.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}},"created_at":"2025-03-19T19:43:35.000Z","updated_at":"2025-07-18T04:28:06.000Z","dependencies_parsed_at":"2025-06-26T23:10:08.587Z","dependency_job_id":null,"html_url":"https://github.com/lovnishverma/Slidespptspdfs","commit_stats":null,"previous_names":["lovnishverma/slidespptspdfs"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/lovnishverma/Slidespptspdfs","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lovnishverma%2FSlidespptspdfs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lovnishverma%2FSlidespptspdfs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lovnishverma%2FSlidespptspdfs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lovnishverma%2FSlidespptspdfs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lovnishverma","download_url":"https://codeload.github.com/lovnishverma/Slidespptspdfs/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lovnishverma%2FSlidespptspdfs/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266680295,"owners_count":23967791,"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":"2025-07-23T02:00:09.312Z","response_time":66,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"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":["aiml","airtificialintelligence","bigdata","datascience","machine-learning","nosql-database"],"created_at":"2025-04-01T17:39:56.433Z","updated_at":"2025-07-23T12:34:41.189Z","avatar_url":"https://github.com/lovnishverma.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🗂️ Slides, PPTs \u0026 PDFs Repository\n\n## 📌 For Practicals Colab Notebooks: 🔗 [Visit This Repo](https://github.com/lovnishverma/Python-Getting-Started)\n🔗 https://github.com/lovnishverma/Python-Getting-Started\n## 📌 MADE WITH ❤️ BY LOVNISH VERMA\n\nWelcome to the **Slidespptspdfs** repository by **Lovnish Verma**. This collection contains categorized PDFs, PowerPoint slides, and resources on a wide range of computer science and data science topics used for workshops, lectures, and student learning.\n\n\u003e 🎯 **Purpose**: Provide well-organized teaching material (slides, notes, PDFs) for students, trainers, and self-learners.\n\n---\n\n## 📁 Repository Structure\n\n| Folder               | Description                                                                                                                                                     |\n| -------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| **1 Python**         | Contains Python slides and PDFs covering programming basics, functions, loops, data structures, OOP, and exception handling. Ideal for beginner-level sessions. |\n| **1DataScience**     | Core concepts of data science including data collection, EDA, preprocessing, visualization techniques, and project workflows.                                   |\n| **Big Data**         | Slides and PDFs focused on Hadoop, Spark, HDFS, MapReduce, and the Big Data ecosystem used in enterprise-level data processing.                                 |\n| **DBMS**             | Database fundamentals including ER diagrams, normalization, SQL queries, relational models, and transaction management.                                         |\n| **Jetson Nano**      | Workshop slides and handouts related to Jetson Nano hardware setup, use cases in edge AI, GPIO, and computer vision demos.                                      |\n| **Machine Learning** | Covers supervised and unsupervised learning algorithms, model evaluation, training/testing splits, and real-world case studies.                                 |\n| **Web Scraping**     | Introductory and intermediate-level content on scraping web data using Python (`requests`, `BeautifulSoup`, `Selenium`) with ethical considerations.            |\n| **Web technologies** | Resources covering HTML, CSS, JavaScript, Bootstrap, and basic web architecture concepts used for frontend development.                                         |\n| **miscellaneous**    | Misc PDFs like Git \u0026 GitHub Basics Presentation, Introduction to APIs with Example, soft skills and resources that don’t fit into other categories but are useful for academic or technical use.                             |\n\n---\n\n## 📸 Preview\n\nThis repository serves as a **one-stop content bank** for:\n\n* Faculty members conducting training/workshops\n* Students revising syllabus content\n* Beginners exploring Python, ML, and Web technologies\n\n\u003e All materials are carefully prepared and regularly updated.\n\n---\n\n## 🧑‍🏫 Author\n\n**Lovnish Verma**\nBackend Developer | Data Science Instructor | AI \u0026 IoT Enthusiast\n\n📧 Email: [princelv84@gmail.com](mailto:princelv84@gmail.com)\n🌐 GitHub: [github.com/lovnishverma](https://github.com/lovnishverma)\n\n---\n\n## 📜 License\n\nAll files are shared under the **MIT License** unless otherwise noted. You're welcome to use these for educational and non-commercial purposes with attribution.\n\n---\n\n## 🙌 Contributions\n\nHave better slides, corrections, or additions?\nFeel free to fork, edit, and raise a pull request with your improvements.\n\nLet’s build a better open learning resource community! 💡\n\n![thank_you](https://github.com/user-attachments/assets/77f46062-a334-4747-b30e-0c0ec52a5070)\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flovnishverma%2Fslidespptspdfs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flovnishverma%2Fslidespptspdfs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flovnishverma%2Fslidespptspdfs/lists"}