Felipe Salvatore felipessalvatore

From Gödel to Nubank.

felipessalvatore / trans_ma_one.py

Last active October 26, 2016 01:49

Transform matrix in lists and classes in one hot encoding

	#ARRAY TRANSFORMATION

	import numpy as np

	#o melhor modo de transformar uma lista de matrizes n x n
	# em uma lista de listas de tamanho n*n eh


	def reformat(lista,n):
	lista = lista.reshape((-1, n*n)).astype(np.float32)

felipessalvatore / soft_max.py

Created October 25, 2016 13:16

First softmax function in python

	#SOFTMAX FUNCTION

	import matplotlib.pyplot as plt
	import numpy as np
	import scipy as sp
	import os
	from sklearn.linear_model import LogisticRegression
	from six.moves import cPickle as pickle
	from sklearn.datasets import load_iris
	%matplotlib inline

felipessalvatore / first_nn.py

Created October 25, 2016 13:14

First try in training a neural network in python

	import random
	import numpy as np
	import matplotlib.pyplot as plt
	from pylab import norm

	class BasicNN:

	bias = 0.5
	weights = []

felipessalvatore / lfd_pla.py

Created October 25, 2016 13:12

Exercise LFD and PLA (Perceptron learning Algorithm)

	import matplotlib.pyplot as plt
	import numpy as np
	import scipy as sp
	import os
	from sklearn.linear_model import LogisticRegression
	from six.moves import cPickle as pickle
	from sklearn.datasets import load_iris

	%matplotlib inline

felipessalvatore / mult_lo_re.py

Created October 25, 2016 13:07

multinomial logistic regression

	#APPLIED TO THE IRIS DATASET
	import matplotlib.pyplot as plt
	import numpy as np
	import scipy as sp
	import os
	from sklearn.linear_model import LogisticRegression
	from six.moves import cPickle as pickle
	from sklearn.datasets import load_iris
	%matplotlib inline

felipessalvatore / li_re.py

Created October 25, 2016 12:59

linear regression algorithm in python

	import matplotlib
	import numpy as np
	import matplotlib.cm as cm
	import matplotlib.mlab as mlab
	import matplotlib.pyplot as plt

	%matplotlib inline


	features = np.array([0.8,0.9,1.0,1.1,1.4,\

felipessalvatore / hash_basic.py

Created October 25, 2016 12:57

Hash table in python

	#Num momento do Assigment 1 precisei comparar duas arrays de arrays
	#com um número grande de elementos. Fazer um loop duplo é custoso demais.
	#Uma saida que achei no forum foi usar o hash do python. Assim, geramos um
	#código único para cada array e comparamos os códigos e não as arrays.
	#exemplo:

	import hashlib

	a = np.arrange([np.arrange([1,2]),np.arrange([2,2]), np.arrange([3,2])])
	b = np.arrange([np.arrange([1,2]),np.arrange([2,222]), np.arrange([3333,2])])