https://github.com/cdalvaro/machine-learning-notebooks

📚 Set of Jupyter Notebooks with different kind of machine learning topics
https://github.com/cdalvaro/machine-learning-notebooks

clustering keras machine-learning machine-learning-algorithms machine-learning-tutorials neural-networks random-forest support-vector-machines

Last synced: 11 days ago
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📚 Set of Jupyter Notebooks with different kind of machine learning topics

• Host: GitHub
• URL: https://github.com/cdalvaro/machine-learning-notebooks
• Owner: cdalvaro
• License: mit
• Created: 2020-05-18T16:31:10.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2020-10-23T06:10:56.000Z (about 4 years ago)
• Last Synced: 2024-11-05T13:52:45.182Z (about 2 months ago)
• Topics: clustering, keras, machine-learning, machine-learning-algorithms, machine-learning-tutorials, neural-networks, random-forest, support-vector-machines
• Language: Jupyter Notebook
• Homepage:
• Size: 3.9 MB
• Stars: 4
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machine Learning Notebooks

[![Python][python_badge]][python_link]

[![Jupyter][jupyter_badge]][jupyter_link]

[![Keras][keras_badge]][keras_link]

[![License: MIT][mit_badge]][mit_license]

This repository contains a series of Jupyter Notebooks with different kind of machine learning topics.

🚧 Currently all notebooks are written in Spanish but I plan to translate them to English in a near future.

## General

- [Naive Bayes Classifier](notebooks/naive-bayes-classifier/naive-bayes-classifier.ipynb)

- [Clustering Techniques](notebooks/clustering-techniques/clustering-techniques.ipynb)

- [Outlier Detection](notebooks/outlier-detection/outlier-detection.ipynb)

- [Support Vector Machines (SVM) VS Neural Network](notebooks/support-vector-machine-vs-neural-network/support-vector-machine-vs-nerual-network.ipynb)

- [Random Forest Classifier and Regressor](notebooks/random-forest/random-forest.ipynb)

## Neural Networks

- [Introduction to Neural Networks with TensowFlow and Keras](notebooks/introduction-to-neural-networks/introduction-to-neural-networks.ipynb)

- [Practical Aspects of Neural Networks](notebooks/practical-aspects-of-neural-networks/practical-aspects-of-neural-networks.ipynb)

- [Convolutional Neural Networks (CNN)](notebooks/convolutional-neural-networks/convolutional-neural-networks.ipynb)

## Action models

- [STRIPS](notebooks/strips/strips.ipynb)

## Image Processing

- [Mathematical Morphology](notebooks/mathematical-morphology/mathematical-morphology.ipynb)

[python_badge]: https://img.shields.io/badge/Python-3.7-3776AB?style=flat-square&logo=Python

[python_link]: https://docs.python.org/3.7/contents.html "Python 3.7"

[jupyter_badge]: https://img.shields.io/badge/Jupyter-Notebook-F37626?style=flat-square&logo=Jupyter

[jupyter_link]: https://jupyter.org "Jupyter Notebook"

[keras_badge]: https://img.shields.io/badge/Keras-2.2-D00000?style=flat-square&logo=Keras&logoColor=D00000

[keras_link]: https://keras.io/api/ "Keras API"

[mit_badge]: https://img.shields.io/badge/License-MIT-yellow.svg?style=flat-square

[mit_license]: https://opensource.org/licenses/MIT "License: MIT"