GitHub / estelacode / data_science
📈📊 Data Science Notebooks . ▫️ Aplicación de algoritmos de ML para la resolución de problemas de aprendizaje supervisado (Clasificación y Regresión)
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Language: Jupyter Notebook
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Created at: 8 months ago
Updated at: 7 months ago
Pushed at: 7 months ago
Last synced at: about 1 month ago
Topics: bagging, boosting, confusion-matrix, decisiontreeclassifier, feature-engineering, feature-extraction, feature-selection, gaussian-naive-bayes, gridsearchcv, kneighborsregressor, lda, linear-regression, logistic-regression, machine-learning, mlpregressor, pca, python, roc-curve, stackingregressor, svm