LCE_1270_Gestão Certificação e Estatística

quinta-feira, 27 de outubro de 2022

domingo, 23 de outubro de 2022

Aula 27/10/2022

Aula 27/10 - 1270

Pauta:

- GRUPÓS DE ESTUDO

- GUSTAVO - ORIENTADO DE DOUTORADO

- LUCIANO E OTAVIO IA -IA ARTE

- Fazer Ex. II em SAS e comparar todos os resultados

- IA vs ESTATISTICA

Grupos de Estudo - Python - SAS - Inglês - Robótica Inteligente - R - SQL - etc. - Tudo Gratuito

Grupos de Estudo - Python - SAS - Inglês - Robótica Inteligente - R- SQL - etc. - Tudo Gratuito

Grupos de Estudo - Python - SAS - Inglês - Robótica Inteligente - R - SQL - etc. - Tudo Gratuito

Digitar: Compiler Python on line gdb

https://www.onlinegdb.com/online_python_compiler

quinta-feira, 20 de outubro de 2022

Aula 20/10/2022

Pauta:

- Resolver Exercício II em SAS e comparar com Excel e Weka

- Slides em meu diretório desktop

- Acabamos a parte pratica obrigatória, material para prova (dezembro e/ou fevereiro)

- Slide Grupos de Estudo e Slides Mural

- Estado de semanários, algum pronto em inglês. Dois computadores ou computador e celular, com cola.

- Ex. PCA China.

Robô Giuseppe

Colar Slides

https://thesummerhunter.com/alimento-notco-giuseppe-inteligencia-artificial-vegano/

quinta-feira, 13 de outubro de 2022

Exercício 2 Pratico

Slides elaborados durante a aula

Exercício 2 Pratico:

Invente um exemplo (se inventar, envie uma copia para gasarrie@usp,br) para aplicar ML Supervisionado para Predição ou Causas e Efeito ou Regressão ou crie uma variável preditora aleatória para pós-venda (de 0 a 100), no arquivo da Satisfação do Cliente, rode no SAS e no Weka, dead line ou due date: 26/10:

Dados:

Bu_Unit Sales Price Qu_level Claims NPS Satisfac

1 65.98107775 97.8021978 96.77419355 13.58024691 98.9010989 97.82608696

2 15.83710407 98.9010989 98.38709677 12.34567901 97.8021978 98.91304348

3 8.885232415 100 100 11.11111111 100 100

4 12.46400658 98.9010989 95.16129032 12.34567901 96.7032967 96.73913043

5 80.66639243 21.97802198 19.35483871 100 2.197802198 21.73913043

6 32.16783217 23.07692308 22.58064516 97.5308642 3.296703297 23.91304348

7 23.44714109 24.17582418 24.19354839 96.2962963 2.747252747 25

8 89.9629782 24.17582418 19.35483871 95.0617284 2.197802198 26.08695652

9 31.42739613 64.83516484 56.4516129 50.61728395 65.93406593 65.2173913

10 11.22994652 65.93406593 51.61290323 49.38271605 71.42857143 66.30434783

11 77.45783628 70.32967033 53.22580645 46.91358025 63.73626374 68.47826087

12 23.89962978 68.13186813 51.61290323 45.67901235 61.53846154 67.39130435

13 7.404360346 86.81318681 80.64516129 25.92592593 90.10989011 86.95652174

14 0.287947347 87.91208791 79.03225806 24.69135802 85.71428571 85.86956522

15 83.42245989 87.91208791 77.41935484 22.22222222 90.10989011 88.04347826

16 100 86.81318681 75.80645161 25.92592593 84.61538462 84.7826087

Arquivo de Dados para o Weka

@RELATION Customer

@ATTRIBUTE U_Neg REAL

@ATTRIBUTE Vendas REAL

@ATTRIBUTE Preco REAL

@ATTRIBUTE Niv_Qual REAL

@ATTRIBUTE Reclama REAL

@ATTRIBUTE NPS REAL

@ATTRIBUTE Satisf REAL

@DATA

Dados

Programa e dados para o SAS do Exercício 2

Data Customer;

Input Bu_Unit Sales Price Qu_level Claims NPS Satisfac;

Cards;

Dados

proc print; run;

/* Input Bu_Unit Sales Price Qu_level Claims NPS Satisfac; */

proc reg;

model Satisfac = Sales Price Qu_level Claims NPS;

Run;

proc robustreg;

model Satisfac = Sales Price Qu_level Claims NPS;

Run;

Exercícios Práticos

Exercícios Práticos

Enviar por Favor para o E-mail da Disciplina:

gestao.estat.cert@gmail.com

Coloque seu nome o número do exercício e se se trata de exercício pratico ou teórico no assunto do e-mail

O SAS (linguagem de computação, principal habilidade de mercado para os tomadores de decisão em empresas do Brasil, versão gratuita excelente) e o Weka (principal programa para ensino de IA do mundo).

Exercício 1 Pratico:

Invente um exemplo (se inventar, envie uma copia para gasarrie@usp,br) para aplicar ML Supervisionado para Classificação ou troque os sinais de interrogação pelos últimos dígitos do seu numero USP no arquivo do Dinheiro Falsificado, Dead Line: 12/10/2022 . Rode uma rede neural com 1-2-3 camadas de neurônios:

RELATION banco

@ATTRIBUTE Length REAL

@ATTRIBUTE Left REAL

@ATTRIBUTE Right REAL

@ATTRIBUTE Bottom REAL

@ATTRIBUTE Top REAL

@ATTRIBUTE Diagonal REAL

@ATTRIBUTE Class {FALSE,TRUE}

@DATA

214.?,13?,13?.?,9,9.?,141,FALSE

214.6,129.7,129.7,8.1,9.5,141.7,FALSE

214.8,129.7,129.7,8.7,9.6,142.2,FALSE

214.8,129.7,129.6,7.5,10.4,142,FALSE

215,129.6,129.7,10.4,7.7,141.8,FALSE

215.7,130.8,130.5,9,10.1,141.4,FALSE

215.5,129.5,129.7,7.9,9.6,141.6,FALSE

214.5,129.6,129.2,7.2,10.7,141.7,FALSE

214.9,129.4,129.7,8.2,11,141.9,FALSE

215.2,130.4,130.3,9.2,10,140.7,FALSE

215.3,130.4,130.3,7.9,11.7,141.8,FALSE

215.1,129.5,129.6,7.7,10.5,142.2,FALSE

215.2,130.8,129.6,7.9,10.8,141.4,FALSE

214.7,129.7,129.7,7.7,10.9,141.7,FALSE

215.1,129.9,129.7,7.7,10.8,141.8,FALSE

214.5,129.8,129.8,9.3,8.5,141.6,FALSE

214.6,129.9,130.1,8.2,9.8,141.7,FALSE

215,129.9,129.7,9,9,141.9,FALSE

215.2,129.6,129.6,7.4,11.5,141.5,FALSE

214.7,130.2,129.9,8.6,10,141.9,FALSE

215,129.9,129.3,8.4,10,141.4,FALSE

215.6,130.5,130,8.1,10.3,141.6,FALSE

215.3,130.6,130,8.4,10.8,141.5,FALSE

215.7,130.2,130,8.7,10,141.6,FALSE

215.1,129.7,129.9,7.4,10.8,141.1,FALSE

215.3,130.4,130.4,8,11,142.3,FALSE

215.5,130.2,130.1,8.9,9.8,142.4,FALSE

215.1,130.3,130.3,9.8,9.5,141.9,FALSE

215.1,130,130,7.4,10.5,141.8,FALSE

214.8,129.7,129.3,8.3,9,142,FALSE

215.2,130.1,129.8,7.9,10.7,141.8,FALSE

214.8,129.7,129.7,8.6,9.1,142.3,FALSE

215,130,129.6,7.7,10.5,140.7,FALSE

215.6,130.4,130.1,8.4,10.3,141,FALSE

215.9,130.4,130,8.9,10.6,141.4,FALSE

214.6,130.2,130.2,9.4,9.7,141.8,FALSE

215.5,130.3,130,8.4,9.7,141.8,FALSE

215.3,129.9,129.4,7.9,10,142,FALSE

215.3,130.3,130.1,8.5,9.3,142.1,FALSE

213.9,130.3,129,8.1,9.7,141.3,FALSE

214.4,129.8,129.2,8.9,9.4,142.3,FALSE

214.8,130.1,129.6,8.8,9.9,140.9,FALSE

214.9,129.6,129.4,9.3,9,141.7,FALSE

214.9,130.4,129.7,9,9.8,140.9,FALSE

214.8,129.4,129.1,8.2,10.2,141,FALSE

214.3,129.5,129.4,8.3,10.2,141.8,FALSE

214.8,129.9,129.7,8.3,10.2,141.5,FALSE

214.8,129.9,129.7,7.3,10.9,142,FALSE

214.6,129.7,129.8,7.9,10.3,141.1,FALSE

214.5,129,129.6,7.8,9.8,142,FALSE

214.6,129.8,129.4,7.2,10,141.3,FALSE

215.3,130.6,130,9.5,9.7,141.1,FALSE

214.5,130.1,130,7.8,10.9,140.9,FALSE

215.4,130.2,130.2,7.6,10.9,141.6,FALSE

214.5,129.4,129.5,7.9,10,141.4,FALSE

215.2,129.7,129.4,9.2,9.4,142,FALSE

215.7,130,129.4,9.2,10.4,141.2,FALSE

215,129.6,129.4,8.8,9,141.1,FALSE

215.1,130.1,129.9,7.9,11,141.3,FALSE

215.1,130,129.8,8.2,10.3,141.4,FALSE

215.1,129.6,129.3,8.3,9.9,141.6,FALSE

215.3,129.7,129.4,7.5,10.5,141.5,FALSE

215.4,129.8,129.4,8,10.6,141.5,FALSE

214.5,130,129.5,8,10.8,141.4,FALSE

215,130,129.8,8.6,10.6,141.5,FALSE

215.2,130.6,130,8.8,10.6,140.8,FALSE

214.6,129.5,129.2,7.7,10.3,141.3,FALSE

214.8,129.7,129.3,9.1,9.5,141.5,FALSE

215.1,129.6,129.8,8.6,9.8,141.8,FALSE

214.9,130.2,130.2,8,11.2,139.6,FALSE

213.8,129.8,129.5,8.4,11.1,140.9,FALSE

215.2,129.9,129.5,8.2,10.3,141.4,FALSE

215,129.6,130.2,8.7,10,141.2,FALSE

214.4,129.9,129.6,7.5,10.5,141.8,FALSE

215.2,129.9,129.7,7.2,10.6,142.1,FALSE

214.1,129.6,129.3,7.6,10.7,141.7,FALSE

214.9,129.9,130.1,8.8,10,141.2,FALSE

214.6,129.8,129.4,7.4,10.6,141,FALSE

215.2,130.5,129.8,7.9,10.9,140.9,FALSE

214.6,129.9,129.4,7.9,10,141.8,FALSE

215.1,129.7,129.7,8.6,10.3,140.6,FALSE

214.9,129.8,129.6,7.5,10.3,141,FALSE

215.2,129.7,129.1,9,9.7,141.9,FALSE

215.2,130.1,129.9,7.9,10.8,141.3,FALSE

215.4,130.7,130.2,9,11.1,141.2,FALSE

215.1,129.9,129.6,8.9,10.2,141.5,FALSE

215.2,129.9,129.7,8.7,9.5,141.6,FALSE

215,129.6,129.2,8.4,10.2,142.1,FALSE

214.9,130.3,129.9,7.4,11.2,141.5,FALSE

215,129.9,129.7,8,10.5,142,FALSE

214.7,129.7,129.3,8.6,9.6,141.6,FALSE

215.4,130,129.9,8.5,9.7,141.4,FALSE

214.9,129.4,129.5,8.2,9.9,141.5,FALSE

214.5,129.5,129.3,7.4,10.7,141.5,FALSE

214.7,129.6,129.5,8.3,10,142,FALSE

215.6,129.9,129.9,9,9.5,141.7,FALSE

215,130.4,130.3,9.1,10.2,141.1,FALSE

214.4,129.7,129.5,8,10.3,141.2,FALSE

215.1,130,129.8,9.1,10.2,141.5,FALSE

214.7,130,129.4,7.8,10,141.2,FALSE

214.4,130.1,130.3,9.7,11.7,139.8,TRUE

214.9,130.5,130.2,11,11.5,139.5,TRUE

214.9,130.3,130.1,8.7,11.7,140.2,TRUE

215,130.4,130.6,9.9,10.9,140.3,TRUE

214.7,130.2,130.3,11.8,10.9,139.7,TRUE

215,130.2,130.2,10.6,10.7,139.9,TRUE

215.3,130.3,130.1,9.3,12.1,140.2,TRUE

214.8,130.1,130.4,9.8,11.5,139.9,TRUE

215,130.2,129.9,10,11.9,139.4,TRUE

215.2,130.6,130.8,10.4,11.2,140.3,TRUE

215.2,130.4,130.3,8,11.5,139.2,TRUE

215.1,130.5,130.3,10.6,11.5,140.1,TRUE

215.4,130.7,131.1,9.7,11.8,140.6,TRUE

214.9,130.4,129.9,11.4,11,139.9,TRUE

215.1,130.3,130,10.6,10.8,139.7,TRUE

215.5,130.4,130,8.2,11.2,139.2,TRUE

214.7,130.6,130.1,11.8,10.5,139.8,TRUE

214.7,130.4,130.1,12.1,10.4,139.9,TRUE

214.8,130.5,130.2,11,11,140,TRUE

214.4,130.2,129.9,10.1,12,139.2,TRUE

214.8,130.3,130.4,10.1,12.1,139.6,TRUE

215.1,130.6,130.3,12.3,10.2,139.6,TRUE

215.3,130.8,131.1,11.6,10.6,140.2,TRUE

215.1,130.7,130.4,10.5,11.2,139.7,TRUE

214.7,130.5,130.5,9.9,10.3,140.1,TRUE

214.9,130,130.3,10.2,11.4,139.6,TRUE

215,130.4,130.4,9.4,11.6,140.2,TRUE

215.5,130.7,130.3,10.2,11.8,140,TRUE

215.1,130.2,130.2,10.1,11.3,140.3,TRUE

214.5,130.2,130.6,9.8,12.1,139.9,TRUE

214.3,130.2,130,10.7,10.5,139.8,TRUE

214.5,130.2,129.8,12.3,11.2,139.2,TRUE

214.9,130.5,130.2,10.6,11.5,139.9,TRUE

214.6,130.2,130.4,10.5,11.8,139.7,TRUE

214.2,130,130.2,11,11.2,139.5,TRUE

214.8,130.1,130.1,11.9,11.1,139.5,TRUE

214.6,129.8,130.2,10.7,11.1,139.4,TRUE

214.9,130.7,130.3,9.3,11.2,138.3,TRUE

214.6,130.4,130.4,11.3,10.8,139.8,TRUE

214.5,130.5,130.2,11.8,10.2,139.6,TRUE

214.8,130.2,130.3,10,11.9,139.3,TRUE

214.7,130,129.4,10.2,11,139.2,TRUE

214.6,130.2,130.4,11.2,10.7,139.9,TRUE

215,130.5,130.4,10.6,11.1,139.9,TRUE

214.5,129.8,129.8,11.4,10,139.3,TRUE

214.9,130.6,130.4,11.9,10.5,139.8,TRUE

215,130.5,130.4,11.4,10.7,139.9,TRUE

215.3,130.6,130.3,9.3,11.3,138.1,TRUE

214.7,130.2,130.1,10.7,11,139.4,TRUE

214.9,129.9,130,9.9,12.3,139.4,TRUE

214.9,130.3,129.9,11.9,10.6,139.8,TRUE

214.6,129.9,129.7,11.9,10.1,139,TRUE

214.6,129.7,129.3,10.4,11,139.3,TRUE

214.5,130.1,130.1,12.1,10.3,139.4,TRUE

214.5,130.3,130,11,11.5,139.5,TRUE

215.1,130,130.3,11.6,10.5,139.7,TRUE

214.2,129.7,129.6,10.3,11.4,139.5,TRUE

214.4,130.1,130,11.3,10.7,139.2,TRUE

214.8,130.4,130.6,12.5,10,139.3,TRUE

214.6,130.6,130.1,8.1,12.1,137.9,TRUE

215.6,130.1,129.7,7.4,12.2,138.4,TRUE

214.9,130.5,130.1,9.9,10.2,138.1,TRUE

214.6,130.1,130,11.5,10.6,139.5,TRUE

214.7,130.1,130.2,11.6,10.9,139.1,TRUE

214.3,130.3,130,11.4,10.5,139.8,TRUE

215.1,130.3,130.6,10.3,12,139.7,TRUE

216.3,130.7,130.4,10,10.1,138.8,TRUE

215.6,130.4,130.1,9.6,11.2,138.6,TRUE

214.8,129.9,129.8,9.6,12,139.6,TRUE

214.9,130,129.9,11.4,10.9,139.7,TRUE

213.9,130.7,130.5,8.7,11.5,137.8,TRUE

214.2,130.6,130.4,12,10.2,139.6,TRUE

214.8,130.5,130.3,11.8,10.5,139.4,TRUE

214.8,129.6,130,10.4,11.6,139.2,TRUE

214.8,130.1,130,11.4,10.5,139.6,TRUE

214.9,130.4,130.2,11.9,10.7,139,TRUE

214.3,130.1,130.1,11.6,10.5,139.7,TRUE

214.5,130.4,130,9.9,12,139.6,TRUE

214.8,130.5,130.3,10.2,12.1,139.1,TRUE

214.5,130.2,130.4,8.2,11.8,137.8,TRUE

215,130.4,130.1,11.4,10.7,139.1,TRUE

214.8,130.6,130.6,8,11.4,138.7,TRUE

215,130.5,130.1,11,11.4,139.3,TRUE

214.6,130.5,130.4,10.1,11.4,139.3,TRUE

214.7,130.2,130.1,10.7,11.1,139.5,TRUE

214.7,130.4,130,11.5,10.7,139.4,TRUE

214.5,130.4,130,8,12.2,138.5,TRUE

214.8,130,129.7,11.4,10.6,139.2,TRUE

214.8,129.9,130.2,9.6,11.9,139.4,TRUE

214.6,130.3,130.2,12.7,9.1,139.2,TRUE

215.1,130.2,129.8,10.2,12,139.4,TRUE

215.4,130.5,130.6,8.8,11,138.6,TRUE

214.7,130.3,130.2,10.8,11.1,139.2,TRUE

215,130.5,130.3,9.6,11,138.5,TRUE

214.9,130.3,130.5,11.6,10.6,139.8,TRUE

215,130.4,130.3,9.9,12.1,139.6,TRUE

215.1,130.3,129.9,10.3,11.5,139.7,TRUE

214.8,130.3,130.4,10.6,11.1,140,TRUE

214.7,130.7,130.8,11.2,11.2,139.4,TRUE

214.3,129.9,129.9,10.2,11.5,139.6,TRUE