https://github.com/hasibzunair/intro-ml-tutorial

Tutorial materials for Ericsson AI & ML Upskill Program 2021. See also https://github.com/myconcordia/A2I2
https://github.com/hasibzunair/intro-ml-tutorial

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Tutorial materials for Ericsson AI & ML Upskill Program 2021. See also https://github.com/myconcordia/A2I2

• Host: GitHub
• URL: https://github.com/hasibzunair/intro-ml-tutorial
• Owner: hasibzunair
• Created: 2021-08-30T19:39:43.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-06-13T17:03:33.000Z (5 months ago)
• Last Synced: 2024-06-14T19:58:09.796Z (5 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 3.21 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Intro to Machine Learning Tutorials

[colab-badge]: 

[![Open In Colab][colab-badge]](https://colab.research.google.com/github/hasibzunair/ericsson-upskill-tutorials/blob/main/tensorflow_tutorial.ipynb)

Tutorial materials for **Ericsson AI & ML Upskill Program 2021**. It contains code for introducing Python, Numpy, Pandas, Matplotlib and TensorFlow.

### Resources

* https://feature-engine.trainindata.com/en/latest/

* https://feature-engine.trainindata.com/en/latest/user_guide/selection/SmartCorrelatedSelection.html

**Acknowledgements**: Some notebooks are based on various online code snippets with approriate credits.