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  1. In this project, I use transfer learning to teach a CNN to take some image and recognize each of my two cats is in the picture.

    Jupyter Notebook 1

  2. A repository containing projects exploring the fundamentals of Data Science (data cleaning, visualization, predictions and statistic) using Python.

    Jupyter Notebook

  3. Application and analysis of common machine learning algorithms (random forests, UXGBoost, SVMs, Naive Bayes) to tabular data.

    Jupyter Notebook 2

  4. Use of CNNs and transfer learning to detect if a given image is a human a dog or neither and to predict the breed of the dog.

    Jupyter Notebook

  5. This repository contains the Python implementations of the exercises required for the Machine Learning course on Coursera.

    Jupyter Notebook

  6. Implementation of several reinforcement learning algorithms to solve openai gym environments.

    Jupyter Notebook

209 contributions in the last year

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Contribution activity

October 2019

4 contributions in private repositories Oct 1 – Oct 16

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