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Em Dezembro vai rolar o maior evento de Microsoft MVPs da
América Latina (online)!

O valor dos ingressos será doad… https://t.co/CdbSb8z8Ux

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#pip3 install autokeras.pretrained

from autokeras_pretrained.text_classifier import SentimentAnalysis
sentiment_cls = SentimentAnalysis()
polarity = sentiment_cls.predict("Today I forgot my wallet.")
print("Polarity of the input sentence is (sentiment is positive if polarity > 0.5) : ", polarity)

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!pip install autokeras
!pip install keras

from keras.datasets import mnist
from autokeras.image.image_supervised import ImageClassifier

# loadning fashion-mnist from keras
(X_train, y_train), (X_test, y_test) = fashion_mnist.load_data()
X_train = X_train.reshape(X_train.shape + (1,))
X_test = X_test.reshape(X_test.shape + (1,))

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from flask import Flask, request, make_response, jsonify

app = Flask(__name__)

@app.route('/')
def index():
  return 'Hello World!'

def results():
  return {'fullfillmentText': 'This is a response from webhook'}

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Arquitetura de Microservices

• Kafka: PubSub (Streaming Platform)
• RabbitMQ: PubSub e Enterprise Service Bus
• Service Bus (Azure)

KAFKA

• Mensagem
• Schemas

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#Clusters

#Distribuicao
set.seed(1909)
x = rnorm(15,mean = rep(1:3, each=5),sd = 0.2)
y = rnorm(15,mean = rep(c(1,2), each=5),sd = 0.2)
plot(x,y,col='blue',pch=19,cex=1)
text(x + 0.05, y + 0.05, labels=as.character(1:15))

#Kmeans

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#Parábola Quadrática
x = -10:10
plot( x = x, y = x**2, main = "Parábola")

plot( x = x, y = x**2, main = "Parábola", type='l')
plot( x = x, y = x**2, main = "Parábola", type='p')
plot( x = x, y = x**2, main = "Parábola", type='b')
plot( x = x, y = x**2, main = "Parábola", type='o')
plot( x = x, y = x**2, main = "Parábola", type='h') #histograma
plot( x = x, y = x**2, main = "Parábola", type='s')

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#Manipulação de dados

install.packages('dplyr')
library('dplyr')

head(starwars)

#Mutate
s2 <- mutate(starwars,
             imc = mass / ((height / 100) ^ 2) )

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#Obtendo dados com o R

pathName = "C:/Users/logonrmlocal/Documents/Aula/data";

#Download 
dir.create(pathName)
file.url = 'http://www.bcb.gov.br/pec/Indeco/Port/IE1-04.xlsx'
file.local = file.path('./Aula/data', basename(file.url))
download.file(url = file.url, destfile = file.local , mode='wb')

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#Loop

AirPassengers

acumuladora = 0;
vetor = NULL;

for (passenger in AirPassengers) {
  acumuladora = acumuladora + passenger;
  vetor = c(vetor, acumuladora);