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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 Classification, Regression, Clustering, Neural Networks, NLP, 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

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.

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.

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