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  • Lisbon, Portugal

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dayanacavalcante/README.md

Hi , I'm Dayana Cavalcante

I love working with methods and projects that develop analytical thinking through the power of Data and Machine Learning.

Here are some open-source projects involving LLM, NLP, Classification, Regression, Clustering, Neural Networks, and Image Recognition. Any feedback and collaboration is really appreciated. Have any questions? Please don't hesitate to get in touch.

📫 How to reach me: Gmail Badge | Linkedin Badge

🛠  Tech Stack

Python  Pandas  Numpy  Scikit-learn  Plotly TensorFlow Keras MySQL Postgres Git  GitHub  Azure PowerShell Markdown  Postman Power Bi Visual Studio Code  Jupyter Notebook PyCharm LangChain OpenAI

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  1. PricePrediction PricePrediction Public

    Build machine learning models to predict the price variable with CatBoost Regressor, Linear Regression, and Random Forest Regressor.

    Jupyter Notebook

  2. BNDES-Dados-Abertos BNDES-Dados-Abertos Public

    Hackathon BNDES - Projeto selecionado entre os finalistas

    HTML 1

  3. Intro_to_llm Intro_to_llm Public

    Data preparation, model definition, training, and text generation using PyTorch.

    Jupyter Notebook

  4. Anti-Spam-Filter Anti-Spam-Filter Public

    Use of the NLTK library, Naive Bayes algorithm, CountVectorizer and TfidfTransformer from scikit-learn.

    Python

  5. Langchain_llm Langchain_llm Public

    Use of LangChain for OpenAI LLM integration with Faiss vector database

    Python

  6. Unsubscribe_Insights Unsubscribe_Insights Public

    Churn analysis

    Jupyter Notebook