├── .DS_Store ├── 2. car-insurance-sales-supervised-machine-learning.ipynb ├── Bias, variance, y trade-off.ipynb ├── Convertir variables categóricas en numéricas.ipynb ├── Descargar_video_de_Youtube_con_Python.ipynb ├── Detección_de_fraudes_en_reclamaciones_de_seguros_aplicando_Machine_Learning.ipynb ├── Hypeparametro_gridsearchcv_modelo_clasificacion_spotify.ipynb ├── Introdución_a_Machine_learning.ipynb ├── LICENSE ├── Modelo KNN.ipynb ├── Naive_Bayes_Compra_o_alquilar.ipynb ├── Predicción_de_Poliza_de_Seguro_Médico.ipynb ├── Predicción_de_cáncer_mama_10 model_pca.ipynb ├── Predicción_de_pizza.ipynb ├── Prueba_t_student.ipynb ├── README.md ├── Regla_de_asociacion_apriori.ipynb ├── Resaltar_filas,_columnas_y_celdas_del_DataFrame.ipynb ├── Suavizado_exponencial_de_primer_orden.ipynb ├── Visualización_con_seaborn.ipynb ├── Visualizando_modelos_de_regresión_.ipynb ├── WOE y IV.ipynb ├── apriori_association_rules_grocery_store.ipynb ├── data ├── WA_Fn-UseC_-Marketing-Customer-Value-Analysis.csv └── data_poliza_seguros.csv ├── diabetes-predicción.ipynb ├── grafico_de_pareto_Aseguradora.ipynb ├── modulo_1.ipynb ├── prueba.ipynb └── time_series_forecasting_arima_lstm_Random_forest_prophet.ipynb /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/narencastellon/Python/HEAD/.DS_Store -------------------------------------------------------------------------------- /2. car-insurance-sales-supervised-machine-learning.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/narencastellon/Python/HEAD/2. car-insurance-sales-supervised-machine-learning.ipynb -------------------------------------------------------------------------------- /Bias, variance, y trade-off.ipynb: -------------------------------------------------------------------------------- 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