GitHub - Nicerova7/MachineLearning-UNI: Curso electivo para el periodo 2019-II

Machine Learning to Data Science

Universidad Nacional de Ingeniería, Facultad de Ciencias

Clase CC002

Ubuntu18

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Ejercicios		Ejercicios
Examenes		Examenes
Cgamma.png		Cgamma.png
Chapter 10 - Decission Trees - 1 - First Glance.ipynb		Chapter 10 - Decission Trees - 1 - First Glance.ipynb
Chapter 3 - Pandas DataFrame - 1.ipynb		Chapter 3 - Pandas DataFrame - 1.ipynb
Chapter 3 - Pandas DataFrame - 2.ipynb		Chapter 3 - Pandas DataFrame - 2.ipynb
Chapter 3 - Pandas DataFrame - 3.ipynb		Chapter 3 - Pandas DataFrame - 3.ipynb
Chapter 3 - Pandas Series.ipynb		Chapter 3 - Pandas Series.ipynb
Chapter 4 - Data Visualization Matplotlib - 1.ipynb		Chapter 4 - Data Visualization Matplotlib - 1.ipynb
Chapter 4 - Data Visualization Matplotlib - 2.ipynb		Chapter 4 - Data Visualization Matplotlib - 2.ipynb
Chapter 4 - Data Visualization Matplotlib - 3.ipynb		Chapter 4 - Data Visualization Matplotlib - 3.ipynb
Chapter 5 - ScikitLearn - Datasets - 1.ipynb		Chapter 5 - ScikitLearn - Datasets - 1.ipynb
Chapter 5 - ScikitLearn - Estadisticos - 3.ipynb		Chapter 5 - ScikitLearn - Estadisticos - 3.ipynb
Chapter 5 - ScikitLearn - Limpieza - 4.ipynb		Chapter 5 - ScikitLearn - Limpieza - 4.ipynb
Chapter 5 - ScikitLearn - Modelo lineal - 2.ipynb		Chapter 5 - ScikitLearn - Modelo lineal - 2.ipynb
Chapter 6 - Supervised Learning - 1 - Regresion Lineal.ipynb		Chapter 6 - Supervised Learning - 1 - Regresion Lineal.ipynb
Chapter 6 - Supervised Learning - 2 - Regresión Múltiple.ipynb		Chapter 6 - Supervised Learning - 2 - Regresión Múltiple.ipynb
Chapter 6 - Supervised Learning - 3 - Regresión Polinomial.ipynb		Chapter 6 - Supervised Learning - 3 - Regresión Polinomial.ipynb
Chapter 7 - Logistic Regresion - 2 - Aplicación.ipynb		Chapter 7 - Logistic Regresion - 2 - Aplicación.ipynb
Chapter 7 - Logistic Regression - 1 - Teoría y Ejemplo.ipynb		Chapter 7 - Logistic Regression - 1 - Teoría y Ejemplo.ipynb
Chapter 7 - Logistic Regression - 3 - Métricas.ipynb		Chapter 7 - Logistic Regression - 3 - Métricas.ipynb
Chapter 8 - Support Vector Machines - 1 - Teoría.ipynb		Chapter 8 - Support Vector Machines - 1 - Teoría.ipynb
Chapter 8 - Support Vector Machines - 2 - Configurando modelo.ipynb		Chapter 8 - Support Vector Machines - 2 - Configurando modelo.ipynb
Chapter 8 - Support Vector Machines - 3 - Configurando modelo 2.ipynb		Chapter 8 - Support Vector Machines - 3 - Configurando modelo 2.ipynb
Chapter 9 - KNN - 1 - Teoría e Implementación.ipynb		Chapter 9 - KNN - 1 - Teoría e Implementación.ipynb
Chapter 9 - KNN - 2 - Scikit Learn implementation.ipynb		Chapter 9 - KNN - 2 - Scikit Learn implementation.ipynb
DuplicateRows.csv		DuplicateRows.csv
HeightsAndWeights_model.sav		HeightsAndWeights_model.sav
HeightsAndWeights_model2.sav		HeightsAndWeights_model2.sav
NaNDataset.csv		NaNDataset.csv
NormalizeColumns.csv		NormalizeColumns.csv
R-squared.png		R-squared.png
README.md		README.md
RSS.png		RSS.png
RSSformula.png		RSSformula.png
Webbrowsers.png		Webbrowsers.png
accuracy.png		accuracy.png
coefhyper.png		coefhyper.png
correlation.png		correlation.png
crossValidationGeneral.png		crossValidationGeneral.png
cuota.png		cuota.png
dataframeoperations.png		dataframeoperations.png
degrees.png		degrees.png
diferentsKForKnn.png		diferentsKForKnn.png
drivinglicense.csv		drivinglicense.csv
featurelabel.png		featurelabel.png
formulahyperplane.png		formulahyperplane.png
formulapoly.png		formulapoly.png
highC.png		highC.png
highbias.png		highbias.png
highgamma.png		highgamma.png
highvariance.png		highvariance.png
house_sizes_prices_svm.csv		house_sizes_prices_svm.csv
idealcurva.png		idealcurva.png
iqr.png		iqr.png
iris_tree.png		iris_tree.png
kernelfunct.png		kernelfunct.png
kerneltrick.png		kerneltrick.png
knn.csv		knn.csv
knn_examplecircle.png		knn_examplecircle.png
linealvslogistica.png		linealvslogistica.png
logisticacandidatos.png		logisticacandidatos.png
logitf.png		logitf.png
lowC.png		lowC.png
lowbias.png		lowbias.png
lowgamma.png		lowgamma.png
lowvariance.png		lowvariance.png
matrizconfusion.png		matrizconfusion.png
multiplereg.png		multiplereg.png
plothyper.png		plothyper.png
pointstosepare.png		pointstosepare.png
polymulti.png		polymulti.png
polynomial.csv		polynomial.csv
precision.png		precision.png
prueba.csv		prueba.csv
rbfkernel.png		rbfkernel.png
recall.png		recall.png
roc00.png		roc00.png
roc05.png		roc05.png
roc10.png		roc10.png
rocvarios.png		rocvarios.png
salary.csv		salary.csv
severalC.png		severalC.png
sigmoide.png		sigmoide.png
sigmoidvalues.png		sigmoidvalues.png
supportvectors.png		supportvectors.png
svm.csv		svm.csv
svm3var.png		svm3var.png
svmintro.png		svmintro.png
svmpossiblelines.png		svmpossiblelines.png
typesOfFit.png		typesOfFit.png
zscore.png		zscore.png

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