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fabrizioaymone/README.md

MasterHead

Hi 👋, I'm Fabrizio Maria Aymone

Electronics Engineering student passionate about machine learning and interested in TinyML and alternative algorithms to backpropagation.

Coding

Connect with me:

fabrizio-maria-aymone

Languages and Tools:

bash c cplusplus git linux pandas python scikit_learn seaborn tensorflow

fabrizioaymone

 fabrizioaymone

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  1. DeepBeliefNetwork DeepBeliefNetwork Public

    C++ implementation of the Deep Belief Network for classifying MNIST digits discussed in G. Hinton paper "A fast learning algorithm for deep belief nets".

    C++

  2. crash-eda crash-eda Public

    The notebook analizes (i.e. mean, mode, skewness, etc) the crash dataset and builds visual representation of the data using matplotlib and seaborn.

    Jupyter Notebook

  3. h-and-m-challenge h-and-m-challenge Public

    Python notebooks containing two models proposed for the H&M challenge hosted on Kaggle.

    Jupyter Notebook

  4. mlogit-from-scratch mlogit-from-scratch Public

    An implementation of the multinomial logistic regression model in python.

    Jupyter Notebook

  5. titanic-challenge titanic-challenge Public

    Python notebook containing my solution for the Titanic ML Challenge hosted on Kaggle.

    Jupyter Notebook