https://github.com/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme
https://github.com/ieCecchetti/Python_ML_DL_examples

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 21 days ago
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A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

• Host: GitHub
• URL: https://github.com/ieCecchetti/Python_ML_DL_examples
• Owner: ieCecchetti
• Created: 2019-03-19T16:14:27.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-03-19T19:21:19.000Z (over 5 years ago)
• Last Synced: 2024-07-29T19:06:07.187Z (4 months ago)
• Topics: bayes-classifier, bayesian-statistics, deep-learning, kernel, machine-learning, matplotlib, neural-network, numpy, pandas, pca, pca-analysis, python, scikitlearn-machine-learning, scipy, shi
• Language: Python
• Homepage:
• Size: 4.76 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Python_ML_DL_example

## Introduction

Hello I'm iEC and the script in this repository are some of my trials with Machine learning and DeepLearning algos.

Some theory explanation and Code resumes are visible on the wiki of each example in addition with tips and result about my tests. So please check that and leave me a feedback.

### Tests

* [Bayes PCA](#)

	- [PCA](https://github.com/ieCecchetti/Python_ML_DL_example/tree/master/Bayes%26PCA/Pca#pca-classifier)

	- [Bayes](https://github.com/ieCecchetti/Python_ML_DL_example/tree/master/Bayes%26PCA/Bayes#bayes-decision-classifier)

* [SVM](https://github.com/ieCecchetti/Python_ML_DL_example/blob/master/SVM/README.md/#Intro)

* [DeepLearning](https://github.com/ieCecchetti/Python_ML_DL_example/blob/master/DeepLearning/README.md/#Intro)

###### Hope this could be usefull for someone. Leave me a feedback if you want. Enjoy