https://github.com/nauxqouh/python-for-data-science-labs

This repo contains weekly practical codes for my Python for Data Science course at university.
https://github.com/nauxqouh/python-for-data-science-labs

data-science jupyter-notebook numpy pandas python pytorch scikit-learn

Last synced: 2 months ago
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This repo contains weekly practical codes for my Python for Data Science course at university.

• Host: GitHub
• URL: https://github.com/nauxqouh/python-for-data-science-labs
• Owner: nauxqouh
• Created: 2025-03-06T16:59:43.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-07T06:54:31.000Z (over 1 year ago)
• Last Synced: 2025-06-11T19:19:09.715Z (about 1 year ago)
• Topics: data-science, jupyter-notebook, numpy, pandas, python, pytorch, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 199 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 📌 Description

This repo contains weekly practical codes for my **Python for Data Science** course at university.

Here, you can explore various essential skills in using Python for Data Science, tailored for beginners. 🚀

- **Lab01 - Basics Syntax**

  🔸 An introduction to fundamental Python syntax and libraries, including variables, data types, and essential functions.

  🔸 Designed to help beginners get started with Python quickly.

- **Lab02 - AI & Technology Department: Data Scientist Position**

  🔸 This lab contains a real-world Data Scientist interview test from a technology company.

  🔸 The test includes two main sections:

  - **Statistics & Probability:** Covers key statistical concepts commonly assessed in interviews.

  - **Coding Challenges:** Hands-on Python exercises to evaluate problem-solving and data manipulation skills.

- **Lab03 - Lab03 - Tabular Data Manipulation**

  🔸 Working with tabular data using _pandas_, including data processing, descriptive statistics, filtering, and modeling.

  🔸 Hands-on practice with datasets to enhance data analysis skills.

- **Lab04 - Object-Oriented Programming (OOP)**

  🔸 Understanding Object-Oriented Programming (OOP) in Python: classes, objects, inheritance, polymorphism, and encapsulation.

  🔸 Applying OOP concepts to _Student Management System_ mini-project.

- **Lab05 - PyTorch for Deep Learning**

  🔸 Introduction to PyTorch, a powerful deep learning framework.

  🔸 Covers the basics of tensors and using in classification.

  

- **Lab06 - Comprehensive Review**

- **Lab07 - Build Model by Pytorch**

  

  🔸 Covers the basics of tensors and building a simple neural network model.

- **Mini-project: AI Engineer**

  🔸 LLM integration: Build an AI-powered language translation tool using the Gemini API.

  🔸 Chatbot Development: Develop a chatbot that retrieves information from a website.

    - Data Access & 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.

    - Chatbot Implementation: Build an AI-powered chatbot to retrieve relevant information using NLP and similarity metrics.

  

  💡 _A practical project that applies Python, NLP, and web crawling techniques!_

  _Note: For security reasons, the API key is stored in a `.env` file. Ensure you have `python-dotenv` installed to load environment variables:_

  ```

  pip install python-dotenv

  ```