GitHub - sfp78/machine-learning-python

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 69 Commits
csv		csv
data		data
ejercicios		ejercicios
figures		figures
images		images
.gitignore		.gitignore
00_00_requirements.py		00_00_requirements.py
00_01_iris.py		00_01_iris.py
00_jupiter_basico.ipynb		00_jupiter_basico.ipynb
01_00_iris_PCA.py		01_00_iris_PCA.py
01_01_carga_fichero_csv.py		01_01_carga_fichero_csv.py
01_02_load_csv_2_mongo.py		01_02_load_csv_2_mongo.py
01_03_load_from_mongo.py		01_03_load_from_mongo.py
01_main_imports.py		01_main_imports.py
02_01_00_pandas_intro.py		02_01_00_pandas_intro.py
02_01_01_pandas_columns.py		02_01_01_pandas_columns.py
02_02_02_agrupaciones_pandas.py		02_02_02_agrupaciones_pandas.py
02_02_03_pandas_map.py		02_02_03_pandas_map.py
02_02_04_pandas_limpieza.py		02_02_04_pandas_limpieza.py
02_02_04_pandas_limpieza_2.py		02_02_04_pandas_limpieza_2.py
02_02_dataset.py		02_02_dataset.py
02_03_boston_dataset.py		02_03_boston_dataset.py
02_03_california_dataset.py		02_03_california_dataset.py
02_03_housing_csv_dataset.py		02_03_housing_csv_dataset.py
02_04_housing_csv_dataset_vectorizado.py		02_04_housing_csv_dataset_vectorizado.py
02_04_titanic.py		02_04_titanic.py
02_05_cancer.py		02_05_cancer.py
02_05_normalizacion_datos_mimaxscaler.py		02_05_normalizacion_datos_mimaxscaler.py
02_05_normalizacion_precios.py		02_05_normalizacion_precios.py
02_05_vertorizado_dias.py		02_05_vertorizado_dias.py
03_01_diagram_types.py		03_01_diagram_types.py
03_02_bokeh.py		03_02_bokeh.py
03_03_bokeh_boxplot.py		03_03_bokeh_boxplot.py
03_04_bokeh_histograma_simple.py		03_04_bokeh_histograma_simple.py
03_05_bokeh_scatter.py		03_05_bokeh_scatter.py
03_06_sns_scatter.py		03_06_sns_scatter.py
03_07_iris_scatter_plot.py		03_07_iris_scatter_plot.py
03_08_scatter_matrix.py		03_08_scatter_matrix.py
03_09_iris_scatter_matrix.py		03_09_iris_scatter_matrix.py
03_10_pyqtgraph.py		03_10_pyqtgraph.py
03_plotting_data.py		03_plotting_data.py
04_01_01_algoritmos_regresion_lineal.py		04_01_01_algoritmos_regresion_lineal.py
04_01_02_algoritmos_regresion_logistica.py		04_01_02_algoritmos_regresion_logistica.py
04_01_02_algoritmos_regresion_logistica_iris.py		04_01_02_algoritmos_regresion_logistica_iris.py
04_02_01_knn.py		04_02_01_knn.py
04_02_02_knnv2.py		04_02_02_knnv2.py
04_03_kmeans.py		04_03_kmeans.py
04_04_00_pca.py		04_04_00_pca.py
04_04_01_pca_mediciones.py		04_04_01_pca_mediciones.py
04_05_reconocimiento_caras.py		04_05_reconocimiento_caras.py
05_01_01_arboles_decision.py		05_01_01_arboles_decision.py
05_01_02_graficando_arbol_decisiones.py		05_01_02_graficando_arbol_decisiones.py
05_02_random_forest.py		05_02_random_forest.py
06_01_00_neural_network.py		06_01_00_neural_network.py
06_01_01_keras_titanic.py		06_01_01_keras_titanic.py
06_01_02_keras_digits.py		06_01_02_keras_digits.py
06_01_03_keras_digits_api.py		06_01_03_keras_digits_api.py
06_01_04_keras_regression_california_housing.py		06_01_04_keras_regression_california_housing.py
06_03_02_tensorflow2_example.py		06_03_02_tensorflow2_example.py
06_03_tensorflow2_example.py		06_03_tensorflow2_example.py
06_04_tensorflow2_image_clasiffication.py		06_04_tensorflow2_image_clasiffication.py
06_04_tensorflow_image_clasiffication.py		06_04_tensorflow_image_clasiffication.py
06_06_02_tensorflow2_inception.py		06_06_02_tensorflow2_inception.py
06_06_03_tensorflow2_mobilenetv2.py		06_06_03_tensorflow2_mobilenetv2.py
06_06_inception.py		06_06_inception.py
06_07_image_recognitions_own_photos.py		06_07_image_recognitions_own_photos.py
06_08_image_recognition_own_imagenet.py		06_08_image_recognition_own_imagenet.py
06_09_tensorboard.py		06_09_tensorboard.py
07_01_generate_model.py		07_01_generate_model.py
07_02_api_rest.py		07_02_api_rest.py
07_03_api_rest_flask_swagger.py		07_03_api_rest_flask_swagger.py
ModeloDatos.py		ModeloDatos.py
Modelos.py		Modelos.py
cache.py		cache.py
download.py		download.py
read_image.py		read_image.py
requirements.txt		requirements.txt