GitHub - GonzaloMardones/Algoritmos-MachineLearning: In this repository it presents Scikit-learn libraries for the development of Machine Learning in Python so that they can deepen or incorporate into their projects, within which I describe features of the models: PCA and IPCA, Kernels and KPCA, regularization through Lasso and Ridge , ElasticNet, outlier resolution, data preparation for robust regressions, assembly methods, and data preparation for these methods, Bagging, Boosting implementation, clustering strategies, Batch K-Means and Mean-Shhift, Cross Validation, and use K-Folds, paramedical optimization, implementation of Randomized, exit to production with API in Flask If you have any questions and / or comments, you can contact me at my email: gonzalo-a@hotmail.com Thank you

GonzaloMardones / Algoritmos-MachineLearning Public

Notifications You must be signed in to change notification settings
Fork 0
Star 2

In this repository it presents Scikit-learn libraries for the development of Machine Learning in Python so that they can deepen or incorporate into their projects, within which I describe features of the models: PCA and IPCA, Kernels and KPCA, regularization through Lasso and Ridge , ElasticNet, outlier resolution, data preparation for robust re…

2 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.vscode		.vscode
entorno		entorno
in		in
models		models
out		out
bagging.py		bagging.py
batch_kmeans.py		batch_kmeans.py
boosting.py		boosting.py
cross_validation.py		cross_validation.py
main.py		main.py
mean_shift.py		mean_shift.py
models.py		models.py
pca.py		pca.py
randomized.py		randomized.py
regularization.py		regularization.py
robust_regression.py		robust_regression.py
server.py		server.py
utils.py		utils.py