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Hi there, I am Guillaume Jeffroy 👋

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Portfolio Contents

  1. LLM summarise Scientifique articles
  2. Augmented reality with Three.js
  3. A textbook exercise on predicting breast cancer
  4. Automated DL with Keras: Architecture & Hyperparameter Tuning

LLM summarise Scientifique articles

Unlock the power of Mistral 7B, LangChain, and Transformer on Colab to summarize scientific articles 🔗

Augmented reality with Three.js

Explore a simple integration of Three.js in a Python app powered by Flask, Gunicorn, and SQLAlchemy. Deployed seamlessly with Docker for enhanced flexibility and scalability. 🔗

A textbook exercise on predicting breast cancer

Explore breast cancer prediction with the Breast Cancer Wisconsin dataset. Compare classifiers, leveraging UMAP for insight. Bonus: ChatGPT shares classifier conclusions. Dive in! 🔗

Automated DL with Keras: Architecture Hyperparameter and Tuning

Exploring Keras Tuner's efficacy on the MNIST dataset to optimize neural network architecture for maximizing validation accuracy 🔗

Guillaume Jeffroy's Projects

breast_cancer_classification icon breast_cancer_classification

Explore breast cancer prediction with the Breast Cancer Wisconsin dataset. Compare classifiers, leveraging UMAP for insight. Bonus: ChatGPT shares classifier conclusions. Dive in!

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

googlevis icon googlevis

Interface between R and the Google Chart Tools

mnist-keras-tuner icon mnist-keras-tuner

Exploring Keras Tuner's efficacy on the MNIST dataset to optimize neural network architecture for maximizing validation accuracy

tsfresh icon tsfresh

Automatic extraction of relevant features from time series:

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