{"id":26047882,"url":"https://github.com/nauxqouh/python-for-data-science-labs","last_synced_at":"2026-04-11T17:47:38.856Z","repository":{"id":281045035,"uuid":"944027346","full_name":"nauxqouh/python-for-data-science-labs","owner":"nauxqouh","description":"This repo contains weekly practical codes for my Python for Data Science course at university.","archived":false,"fork":false,"pushed_at":"2025-03-07T06:54:31.000Z","size":204,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-11T19:19:09.715Z","etag":null,"topics":["data-science","jupyter-notebook","numpy","pandas","python","pytorch","scikit-learn"],"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/nauxqouh.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":"2025-03-06T16:59:43.000Z","updated_at":"2025-03-07T06:54:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"ba1fb2ac-8e42-4560-a139-1c85f5dc0e34","html_url":"https://github.com/nauxqouh/python-for-data-science-labs","commit_stats":null,"previous_names":["nauxqouh/python-for-data-science-labs"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/nauxqouh/python-for-data-science-labs","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nauxqouh%2Fpython-for-data-science-labs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nauxqouh%2Fpython-for-data-science-labs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nauxqouh%2Fpython-for-data-science-labs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nauxqouh%2Fpython-for-data-science-labs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nauxqouh","download_url":"https://codeload.github.com/nauxqouh/python-for-data-science-labs/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nauxqouh%2Fpython-for-data-science-labs/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264604938,"owners_count":23635968,"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":["data-science","jupyter-notebook","numpy","pandas","python","pytorch","scikit-learn"],"created_at":"2025-03-07T23:14:46.444Z","updated_at":"2026-04-11T17:47:38.848Z","avatar_url":"https://github.com/nauxqouh.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📌 Description\n\nThis repo contains weekly practical codes for my **Python for Data Science** course at university.\n\nHere, you can explore various essential skills in using Python for Data Science, tailored for beginners. 🚀\n\n- **Lab01 - Basics Syntax**\n\n  🔸 An introduction to fundamental Python syntax and libraries, including variables, data types, and essential functions.\n\n  🔸 Designed to help beginners get started with Python quickly.\n\n- **Lab02 - AI \u0026 Technology Department: Data Scientist Position**\n\n  🔸 This lab contains a real-world Data Scientist interview test from a technology company.\n\n  🔸 The test includes two main sections:\n\n  - **Statistics \u0026 Probability:** Covers key statistical concepts commonly assessed in interviews.\n  - **Coding Challenges:** Hands-on Python exercises to evaluate problem-solving and data manipulation skills.\n\n- **Lab03 - Lab03 - Tabular Data Manipulation**\n\n  🔸 Working with tabular data using _pandas_, including data processing, descriptive statistics, filtering, and modeling.\n\n  🔸 Hands-on practice with datasets to enhance data analysis skills.\n\n- **Lab04 - Object-Oriented Programming (OOP)**\n\n  🔸 Understanding Object-Oriented Programming (OOP) in Python: classes, objects, inheritance, polymorphism, and encapsulation.\n\n  🔸 Applying OOP concepts to _Student Management System_ mini-project.\n\n- **Lab05 - PyTorch for Deep Learning**\n\n  🔸 Introduction to PyTorch, a powerful deep learning framework.\n\n  🔸 Covers the basics of tensors and using in classification.\n  \n- **Lab06 - Comprehensive Review**\n\n- **Lab07 - Build Model by Pytorch**\n  \n  🔸 Covers the basics of tensors and building a simple neural network model.\n\n- **Mini-project: AI Engineer**\n\n  🔸 LLM integration: Build an AI-powered language translation tool using the Gemini API.\n\n  🔸 Chatbot Development: Develop a chatbot that retrieves information from a website.\n    - Data Access \u0026 Indexing: Crawl the given website, preprocess the content, and create a searchable index for chatbot responses. Use tools like Selenium or Requests for data extraction.\n    - Chatbot Implementation: Build an AI-powered chatbot to retrieve relevant information using NLP and similarity metrics.\n  \n  💡 _A practical project that applies Python, NLP, and web crawling techniques!_\n\n  _Note: For security reasons, the API key is stored in a `.env` file. Ensure you have `python-dotenv` installed to load environment variables:_\n  ```\n  pip install python-dotenv\n  ```\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnauxqouh%2Fpython-for-data-science-labs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnauxqouh%2Fpython-for-data-science-labs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnauxqouh%2Fpython-for-data-science-labs/lists"}