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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

Dayana Cavalcante's Projects

anti-spam-filter icon anti-spam-filter

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

apipython-wineclassify icon apipython-wineclassify

Web API in Python with Flask to classify wine with model created by extra-trees classifier algorithm.

intro_to_llm icon intro_to_llm

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

langchain_llm icon langchain_llm

Use of LangChain for OpenAI LLM integration with Faiss vector database

loan-prediction icon loan-prediction

Classification of home loans using Logistic Regression, Decision Tree and Random Forest algorithms.

obesity-estimate icon obesity-estimate

Use of OLS method, Linear Regression, K-means, Agglomerative Hierarchical, DBSCAN, Decision Tree, Random Forest, Logistic Regression, Support Vector Classifier, K-nearest neighbors, and Naive Bayes algorithms in the case study to estimate obesity levels.

priceprediction icon priceprediction

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

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