https://github.com/thchilly/mlds102_py_exercises

Complete exercise sets from MLDS Practical Data Science and Applications course
https://github.com/thchilly/mlds102_py_exercises

data-science matplotlib numpy pandas python scikit-learn scipy tensorflow

Last synced: about 2 months ago
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Complete exercise sets from MLDS Practical Data Science and Applications course

• Host: GitHub
• URL: https://github.com/thchilly/mlds102_py_exercises
• Owner: thchilly
• Created: 2025-01-26T12:03:26.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-01-26T12:18:24.000Z (3 months ago)
• Last Synced: 2025-02-03T02:06:01.047Z (3 months ago)
• Topics: data-science, matplotlib, numpy, pandas, python, scikit-learn, scipy, tensorflow
• Language: Jupyter Notebook
• Homepage: https://www.eclass.tuc.gr/courses/MLDS103/
• Size: 4.12 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Practical Data Science and Applications - Python Exercises

This repository contains Python exercises from the **Practical Data Science and Applications** course, part of the MSc in **Machine Learning and Data Science** program at the Technical University of Crete.

## Course Information

- **Instructor**: Nikos Giatrakos, Assistant Professor, School of ECE, Technical University of Crete

- **Topics Covered**:

  - Python programming for data science

  - **NumPy**: Numerical computing

  - **SciPy**: Scientific computing

  - **Pandas**: Data manipulation and analysis

  - **Scikit-learn**: Machine learning tools

  - **TensorFlow**: Deep learning framework

## Structure

The repository is organized by topic, with exercises demonstrating practical use cases for each library.

## Notes

These exercises were completed as part of coursework and are intended for educational purposes.