# Curso IA Preditiva SF - (0ut2024)
**Conteúdo Compartilhado**

## Instrutor: Fernando Melo
https://bit.ly/Fmelo_website_pt

**Anotações Compartilhadas**

- Formulário perfil do aluno:
https://forms.gle/s2N38LbbzCV5oai29
- Painel IA SF:
https://bit.ly/Painel_AILeaders
- Preencher formulário Propostas de projetos de IA:
https://forms.gle/MLXWb7qDCBHLayJT9
- Download planilha de Oportunidades:
https://docs.google.com/uc?export=download&id=1g3vAI1Xw1TKkkMznpx0uHqhZXz0AiPNi
- Preencher formulário Propostas de projetos de IA:
https://forms.gle/MLXWb7qDCBHLayJT9
- [House Prices App](https://huggingface.co/spaces/Nandobr/HousePrice_streamlit_app)

## Slides do curso:
[Aula 01](https://drive.google.com/file/d/1G30IPsK4C7aKqs2Zohl1S6tQh4VVpn-4/view?usp=sharing)

## Exercícios:
**Aula 01**
- [Revisão Python/Pandas no Google Colab](https://drive.google.com/file/d/1aodnREBaIfLBg8SJaAD52hFRq1vK_8vm/view?usp=drive_link)
- Introdução Colab: [intro01_Introducao_colab.ipynb](https://drive.google.com/file/d/1FK_Bqlrp6dr55VJp8vR82yVXMk6xNgB-/view?usp=drive_link)
- Exercício 2 - Flores Iris log_reg
exercício: [ex2-Iris.ipynb](https://drive.google.com/file/d/1hJ0fwNVoh9GTnsEb1_LP-3i4qmaWrxSl/view?usp=drive_link)
Resposta: [ex2R-Iris_resolvido.ipynb](https://drive.google.com/file/d/14KyNhl93KtZO4pLkfIsKXwypkKHxUgvq/view?usp=drive_link)
- Análise exploratória dos dados EDA - [Caderno: ex1-EDA_descricao_projetos.ipynb](https://drive.google.com/file/d/1LPcz6ECrnqsJoiHVlCzG7T00yHnnALiX/view?usp=drive_link)
Iris , Wine , Breast cancer.
- Demo EDA Sweetviz: [ex1demo-EDA_Sweetviz.ipynb](https://drive.google.com/file/d/1HRTkvQMszVWG9xkBedt-Ck6OsD5kTyDH/view?usp=drive_link)

**Aula 02**
https://drive.google.com/file/d/1mKXxMMC_8QphxJiHzUnesgvGR5wR5Vef/view?usp=sharing

[**Aula 03**](https://drive.google.com/file/d/1htq--tPcyIrXrPTDcMpMoN4a_ZrScsRM/view?usp=sharing)

Link app Resumo de Texto (Gradio) : https://9c98b0cb48b5e4e965.gradio.live/