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data-science101/README.md

Hi there, my name is Felipe, I'm an AI Software Engineer from 🇧🇷

👨🏻‍💻  A little bit about me

name = "Felipe"
current_job = "AI Software Engineer"
looking_to = "Collaborate with companies that want to change the world"

currently_learning = [
  "Machine Learning",
  "Deep Learning",
  "Python",
  "Big Data"
]

passions = [
  "Learning new stuff",
  "Traveling",
  "Reading",
  "Music", 
  "Drums",
  "Muay Thai",
  "Magic the Gathering",
  "RPG"
]

🤙 Fun fact:

I love to develop "useless"(lol, and usefull too, of course) stuff like Web Scraping song lyrics and turning them into images at scale or fetching WhatsApp group chat messages to find out who is the person that kills everyone productivity hahahaha.

Stuff I love/use:

Pinned Loading

  1. predicting-machine-failure predicting-machine-failure Public

    Predicting Machine Failure using Machine Learning Classification Models

    Jupyter Notebook

  2. datacamp datacamp Public

    Courses, certifications and tests

    Jupyter Notebook

  3. pt-BR-EDA-Roubos-Veiculos-Estado-Sao-Paulo pt-BR-EDA-Roubos-Veiculos-Estado-Sao-Paulo Public

    Análise exploratória de dados (EDA) sobre roubos de veículos no Estado de São Paulo.

    Jupyter Notebook

  4. pt-BR-Deteccao-Fraudes-Machine-Learning pt-BR-Deteccao-Fraudes-Machine-Learning Public

    Utilização de KNN, Decision Tree e Logistic Regression para prever transações de cartão de crédito fraudulentas.

    Jupyter Notebook 1

  5. pt-BR-K-Means-Clustering-Clientes pt-BR-K-Means-Clustering-Clientes Public

    Projeto usando K-Means Clustering em base de clientes para descobrir quais são as variáveis que geram mais receita.

    Jupyter Notebook

  6. pt-BR-Linear-Regression pt-BR-Linear-Regression Public

    Utilização de Regressão Linear Simples e Múltipla para entender correlação entre features e realizar previsões.

    Jupyter Notebook