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  • Matias David González
  • Argentina

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Rezckant/README.md

Hi there 👋

About me

A motivated data scientist/machine learning engineer with hands-on experience in the ETL process, data collection, exploratory data analysis, predictive modeling with testing, and model evaluation.

  • Programming and Scripting Languages: Python, R.
  • Databases: SQL Server, MySQL, SQLite.
  • Data Science and Analysis Libraries: Keras, Tensorflow, Optuna, Pandas, Numpy, Matplotlib, Seaborn, Plotly, SciPy, Scikit-Learn (and others).
  • Tools: AWS, Spark, Tableau, Git.

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  1. HyperParameter-Tuning-Bayesian-search- HyperParameter-Tuning-Bayesian-search- Public

    Heart failure is a common event caused by CVDs and this dataset contains 11 features that can be used to predict a possible heart disease.

    Jupyter Notebook

  2. pseudo_labeling pseudo_labeling Public

    Jupyter Notebook

  3. EDA-and-ClassificationModels EDA-and-ClassificationModels Public

    The dataset used in this project is originally from NIDDK. The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.

    Jupyter Notebook

  4. protein-tertiary-structure protein-tertiary-structure Public

    One of the main areas of research in molecular biology is the three-dimensional reconstruction of macromolecules such as proteins. Protein structure prediction is one of the main challenges in bioi…

    Jupyter Notebook

  5. Keras-Optuna Keras-Optuna Public

    In this repository we will implement a hyperparameter adjustment with the help of optuna in a convolution network to recognize digits

    Jupyter Notebook

  6. Multivariante-deteccion-outliers- Multivariante-deteccion-outliers- Public

    Jupyter Notebook