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T1 - 1 - Data cleaning.ipynb
T1 - 1 - Data cleaning.ipynb
T1 - 2 - Data Cleaning - Analisis preliminar de los datos.ipynb
T1 - 2 - Data Cleaning - Analisis preliminar de los datos.ipynb
T1 - 3 - Data Cleaning - Plots.ipynb
T1 - 3 - Data Cleaning - Plots.ipynb
T2 - 1 - Data Cleaning - Data Wrangling.ipynb
T2 - 1 - Data Cleaning - Data Wrangling.ipynb
T2 - 2 - Data Cleaning - Funciones de distribución de probabilidad.ipynb
T2 - 2 - Data Cleaning - Funciones de distribución de probabilidad.ipynb
T2 - 3 - Data Cleaning - Agrupación de Datos.ipynb
T2 - 3 - Data Cleaning - Agrupación de Datos.ipynb
T2 - 4 - Data Cleaning - Concatenación de datos.ipynb
T2 - 4 - Data Cleaning - Concatenación de datos.ipynb
T3 - 1 - Estadísticos básicos.ipynb
T3 - 1 - Estadísticos básicos.ipynb
T3 - 2 - Muestreo aleatorio y teorema central del límite.ipynb
T3 - 2 - Muestreo aleatorio y teorema central del límite.ipynb
T3 - 3 - Los contrastes de hipótesis.ipynb
T3 - 3 - Los contrastes de hipótesis.ipynb
T3 - 4 - Test de la Chi cuadrado.ipynb
T3 - 4 - Test de la Chi cuadrado.ipynb
T3 - 5 - Correlación entre variables.ipynb
T3 - 5 - Correlación entre variables.ipynb
T4 - 1 - Regresion lineal - Datos ficticios.ipynb
T4 - 1 - Regresion lineal - Datos ficticios.ipynb
T4 - 2 - Regresion lineal - Regresión lineal con Python.ipynb
T4 - 2 - Regresion lineal - Regresión lineal con Python.ipynb
T4 - 3 - Regresion lineal - Validación del modelo.ipynb
T4 - 3 - Regresion lineal - Validación del modelo.ipynb
T4 - 4 - Regresion lineal - SciKit-Learn.ipynb
T4 - 4 - Regresion lineal - SciKit-Learn.ipynb
T4 - 5 - Regresion lineal - Problemas con la regresión lineal.ipynb
T4 - 5 - Regresion lineal - Problemas con la regresión lineal.ipynb
T4 - La regresión lineal.ipynb
T4 - La regresión lineal.ipynb
T5 - 1 - Regresión logística - Matemáticas.ipynb
T5 - 1 - Regresión logística - Matemáticas.ipynb
T5 - 2 - Logistic Regression - Implementación.ipynb
T5 - 2 - Logistic Regression - Implementación.ipynb
T5 - 3 - Logistic Regression - Análisis exploratorio de los datos.ipynb
T5 - 3 - Logistic Regression - Análisis exploratorio de los datos.ipynb
T5 - 4 - Validación cruzada.ipynb
T5 - 4 - Validación cruzada.ipynb
T5 - Regresión logística.ipynb
T5 - Regresión logística.ipynb
T5 - Resumen Regresión logística.ipynb
T5 - Resumen Regresión logística.ipynb
T5 -5 - Matrices de confusión y curvas ROC.ipynb
T5 -5 - Matrices de confusión y curvas ROC.ipynb
T6 - 1 - Distancias.ipynb
T6 - 1 - Distancias.ipynb
T6 - 2 Clustering Jerárquico.ipynb
T6 - 2 Clustering Jerárquico.ipynb
T6 - 3 Clustering con k-means.ipynb
T6 - 3 Clustering con k-means.ipynb
T6 - 4 Clustering completo.ipynb
T6 - 4 Clustering completo.ipynb
T6 - 5.1 Método del codo y la silueta (teoría).ipynb
T6 - 5.1 Método del codo y la silueta (teoría).ipynb
T6 - 5.2 Método del codo y la silueta.ipynb
T6 - 5.2 Método del codo y la silueta.ipynb
T6 - 6 Propagación de la afinidad.ipynb
T6 - 6 Propagación de la afinidad.ipynb
T6 - 7 K Medoides.ipynb
T6 - 7 K Medoides.ipynb
T6 - 8 - Resumen del clustering.ipynb
T6 - 8 - Resumen del clustering.ipynb
T6 - Clustering.ipynb
T6 - Clustering.ipynb
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