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Python.\n\n![imagem-capa](https://user-images.githubusercontent.com/58775072/86493069-7403fc00-bd46-11ea-9d9c-25a9684136b8.png)\n\n### Instalações\n\n##### Versão do Python Utilizada\n- [Python 3.7](https://www.python.org/downloads/);\n\n##### Importação de recursos pelo Anaconda (Plataforma utilizada para ciência de dados)\n- [Anaconda Data Science Pack](https://www.anaconda.com/products/individual);\n\n### Conteúdos Abordados no Repositório\n\n|**Ordem do Conteúdo**|**Tema**|\n|:-------------------:|:------:|\n|Artigos|[Artigos sobre Machine Learning](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/artigos)|\n|Conteúdo A|[Introdução](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/conteudo_a_introducao)|\n|Conteúdo B|[Pré-processamento de Dados](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/conteudo_b_pre_processamento)|\n|Conteúdo C|[Aprendizagem Bayesiana](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20C%20-%20Aprendizagem%20Bayesiana)|\n|Conteúdo D|[Árvore de Decisão](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20D%20-%20%C3%81rvores%20de%20Decis%C3%A3o)|\n|Conteúdo E|[Aprendizagem por Regras](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20E%20-%20Aprendizagem%20por%20Regras)|\n|Conteúdo F|[Aprendizagem Baseada em Instâncias](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20F%20-%20Aprendizagem%20Baseada%20em%20Inst%C3%A2ncias)|\n|Conteúdo G|[Regressão Logística](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20G%20-%20Regress%C3%A3o%20Log%C3%ADstica)|\n|Conteúdo H|[Máquina de Vetores de Suporte](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20H%20-%20M%C3%A1quina%20de%20Vetores%20de%20Suporte)|\n|Conteúdo I|[Redes Neurais Artificiais](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20I%20-%20Redes%20Neurais%20Artificiais)|\n|Conteúdo J|[Avaliação de Algoritmos - Parte 01](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20J%20-%20Avalia%C3%A7%C3%A3o%20de%20Algoritmos%20-%20Parte%2001)|\n|Conteúdo K|[Avaliação de Algoritmos - Parte 02](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20K%20-%20Avalia%C3%A7%C3%A3o%20de%20Algoritmos%20-%20Parte%2002)|\n|Conteúdo L|[Combinação de Classificadores](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20L%20-%20Combina%C3%A7%C3%A3o%20de%20Classificadores)|\n|Conteúdo M|[Regressão Linear](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20M%20-%20Regress%C3%A3o%20Linear)|\n|Conteúdo N|[Outras Regressões](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20N%20-%20Outras%20Regress%C3%B5es)|\n|Conteúdo O|[Algoritmo Apriori](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20O%20-%20Algoritmo%20Apriori)|\n|Conteúdo P|[Algoritmo ECLAT](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20P%20-%20Algoritmo%20ECLAT)|\n|Conteúdo Q|[Algoritmo K-means](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20Q%20-%20Algoritmo%20K-means)|\n|Conteúdo R|[Agrupamento Hierárquico](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20R%20-%20Agrupamento%20Hier%C3%A1rquico)|\n|Conteúdo S|[Agrupamento com DBSCAN](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20S%20-%20Agrupamento%20com%20DBSCAN)|\n|Conteúdo T|[Redução de Dimensionalidade](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20T%20-%20Redu%C3%A7%C3%A3o%20da%20Dimensionalidade)|\n|Conteúdo U|[Detecção de Outliers](https://github.com/Alyssonmach/Machine-Learning-com-Python/tree/master/Conte%C3%BAdo%20U%20-%20Detec%C3%A7%C3%A3o%20de%20Outliers)|\n\n### Referências \n\n- [IA Expert](https://iaexpert.com.br/);\n- [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/index.php);\n- [IEEE Dataports](https://ieee-dataport.org/);\n- Lago, S. P. Introdução a Inteligência Artificial, USP, 2020;\n- Zurubabel. Pré-Processamento e Processamento de Dados. Disponível em: https://zurubabel.blogspot.com/. Acesso em 27 de Abril de 2020;\n- Granatyr, J. IA Expert. Disponível em: https://iaexpert.com.br/. Acesso em 27 de Abril de 2020;\n- RASCHKA, Sebastian; MIRJALILI, Vahid. Python Machine Learning, 2nd Ed.Packt Publishing, 2017;\n- Del Moral Hernandez, Emílio. Inteligência Computacional e Redes Neurais em Engenharia Elétrica, PSI-EPUSP, 2005.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falyssonmach%2Fmachine-learning-com-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Falyssonmach%2Fmachine-learning-com-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Falyssonmach%2Fmachine-learning-com-python/lists"}