SilvaEmerson
/ Asteroids_impacts_analysis.ipynb
Last active
September 25, 2017 11:32
Data analysis from the data of probably impacts of asteroids with earth, source: NASA(https://www.kaggle.com/nasa/asteroid-impacts/data)
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SilvaEmerson
/ Links.ipynb
Created
September 29, 2017 16:57
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SilvaEmerson
/ Bolsa_emerg.py
Last active
October 2, 2017 10:36
Script de consulta à situação de pagamento com relação à um prazo dado e o CPF do requisitante
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| try: | |
| import requests | |
| except: | |
| print("Por favor instale o módulo Requests") | |
| try: | |
| from bs4 import BeautifulSoup | |
| except: | |
| print("Por favor instale o módulo BeutifulSoup:\nhttps://www.crummy.com/software/BeautifulSoup/bs4/download/") | |
| print('Prazo deve ser entre 30 dias') |
SilvaEmerson
/ Analysis.ipynb
Created
October 13, 2017 14:39
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SilvaEmerson
/ DukeCardiacCatheterizationCoronaryArteryDiseaseDiagnosticDatasetAnalysis.ipynb
Created
November 17, 2017 17:09
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SilvaEmerson
/ Matriz esparça.ipynb
Last active
November 22, 2017 02:11
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SilvaEmerson
/ MNIST.ipynb
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December 15, 2017 01:45
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SilvaEmerson
/ Classifying Wine .ipynb
Last active
March 19, 2018 01:28
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SilvaEmerson
/ Classsifying Wine .py
Last active
March 24, 2018 20:06
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| import tensorflow as tf | |
| import numpy as np | |
| X_train, X_test = np.load('X_train.npy'), np.load('X_test.npy') | |
| Y_train, Y_test = np.load('Y_train.npy'), np.load('Y_test.npy') | |
| Y_train, Y_test = tf.keras.utils.to_categorical(Y_train, num_classes=4), tf.keras.utils.to_categorical(Y_test, num_classes=4) | |
| features_num = len(X_train[0]) | |
| l1 = 50 |
SilvaEmerson
/ NoduleSegmentation.ipynb
Last active
April 19, 2018 08:19
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