An overview of various ML and Deep Learning algorithms
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Latest commit d6d364e Jan 15, 2019

README.md

Machine Learning Handbook

stability-wip PRs Welcome

This repository contains Jupyter notebooks showcasing various ML and Deep Learning algorithms.

It is part of the Machine Learning course taught at the Graduate School of Cognitive Engineering (ENSC).

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Content

Tools Machine Learning Deep Learning
🐍 Python 📈 Linear Regression 🎛 Dense Neural Networks
🔢 NumPy 🛠 Neural Networks Tuning
🐼 Pandas 🖼️ Convolutional Neural Networks (CNN)
📊 Matplotlib

How to run the notebooks

  • Launch an executable version of a notebook in Colaboratory (Google account needed) by opening it and clicking this button: Open In Google Colaboratory
  • Clone or download this repository and run a Jupyter notebook server on your local machine.