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.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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Machine Learning to Data Science

Universidad Nacional de Ingeniería, Facultad de Ciencias

Clase CC002

Ubuntu18

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Curso electivo para el periodo 2019-II

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machine machinelearning aprendizaje-automatico machinelearning-python

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