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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Sharkx2

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nabilalibou/README.md

Bonjour👋 I'm Nabil

AI & Bioinformatics Engineer

  • I use data pipelines, statistics, and machine learning to tackle challenges in healthcare, cognitive science, and computational biology.
  • Currently, I work as a Bioinformatics & AI Engineer focusing on Genomic Pipeline Development at Alcediag.
  • In my free time, I love pursuing personal various data-driven projects and I have also recently begun contributing to open-source projects.
  • Feel free to connect with me on Linkedin.

Tech Stack:

Analysis/Statistics: Numpy, Scipy, Pandas, R
Machine-Learning/Deep Learning: Keras/TensorFlow, Scikit-Learn, PyTorch
Database: Apache Spark (PySpark), SQL
Vizualisation: Matplotlib, Seaborn, R
CI/CD: Gitlab CI/CD, Docker, Kubernetes, AWS

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  1. connectivity_segmentation connectivity_segmentation Public

    Track and segment the dynamics of brain connectivity networks

    Python 4 1

  2. online_bci_mi online_bci_mi Public

    Real-Time BCI for Rock-Paper-Scissors: Decoding Motor Imagery with Minimal Training

    Python 4

  3. SleepChecker SleepChecker Public

    Class wrapper of the yasa package to detect drowsiness/sleep phase using EEG data

    Python 3

  4. EEG_kaggle_sandbox EEG_kaggle_sandbox Public

    Exploring Brain Signal Processing Pipelines for Kaggle Challenges

    Python 2

  5. brain_source_localization brain_source_localization Public

    Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (S…

    MATLAB 6 1

  6. Uber_Fare_Prediction_Explained Uber_Fare_Prediction_Explained Public

    This repository documents a complete ML workflow to model Uber fares in Paris, from granular EDA and feature engineering to building and fine-tuning a stacking regressor on 10k real-world rides.

    Jupyter Notebook