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Machine learning algorithms

In this project you will find the application of three classifiers (MLP, SVC, and Decision Tree) on two datasets: Breast Cancer and Ecoli.

Refer to Notebook available here to understand more:

  1. Breast Cancer Dataset Winconsin:

https://github.com/tamer-abdulghani/breast-cancer-ecoli-classification/blob/master/notebooks/BreastCancerDatasetWisconsin.ipynb

  1. Ecoli Dataset:

https://github.com/tamer-abdulghani/breast-cancer-ecoli-classification/blob/master/notebooks/EcoliDataset.ipynb

Installation

The following steps will guide you to run this project using python virtual environments.

  1. pip install virtualenv
  2. navigate to environment folder in this project cd environment
  3. create new environment virtualenv py36
  4. activate the environment source py36/bin/activate
  5. pip install -r requirements.txt
  6. navigate to the root folder of the project again
  7. run jupyter jupyter notebook

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Machine learning - breast cancer and ecoli - classification

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