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Implementation of Genetic Algorithms using Python

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Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
Images		Images
Eggholder_Function.ipynb		Eggholder_Function.ipynb
Eggholder_Function_Analysis.ipynb		Eggholder_Function_Analysis.ipynb
Feature_Selection_ML.ipynb		Feature_Selection_ML.ipynb
Hyperparameter_Tuning_ML.ipynb		Hyperparameter_Tuning_ML.ipynb
README.md		README.md
elitism.py		elitism.py

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Genetic Algorithm implementations in Python

Implementation of Genetic algorithms for applications:

Optimizing continuous functions
Feature selection for Machine learning problems
Hypertuning Machine learning algorithms

Optimizing the Eggholder function

The Eggholder function is given by:

$f(x, y)=-(y+47) \cdot \sin \sqrt{\left|\frac{x}{2}+(y+47)\right|}-x \cdot \sin \sqrt{|x-(y+47)|}$
Optimization results:

Feature Selection for Machine Learning

We work with the Friedman 1 dataset provided by Scikit-learn: Friedman1 Dataset
Feature Selection results:

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Implementation of Genetic Algorithms using Python

python machine-learning optimization genetic-algorithm scikit-learn feature-selection deap

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