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Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Quickdraw

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eyal-gi/README.md

Eyal Ginosar

Machine Learning:

  1. Recommendation model for bank direct marketing - Classification with fully-supervised learning methods (e.g., Random Forest, Neural Network) and dealing with imbalanced data.

Computer Vision:

  1. Flowers classfication - Binary classification of images using ResNet model.
  2. Plants disease classifier - Multi-class classification of diseases in plant's leaves with DenseNet model.

NLP:

  1. Tweeter Authorship classification - Manual feature extraction and word embeddings with deep learning models.
  2. Part-of-Speech tagger - Implementation of a Hidden Markov model and an LSTM model.

Pinned Loading

  1. AppLearner AppLearner Public

    Forked from AdiY10/AppLearner

    Jupyter Notebook

  2. Bank-Marketing-Recommendation Bank-Marketing-Recommendation Public

    Python

  3. Flowers-Classification Flowers-Classification Public

    Python

  4. Plant-disease-classifier Plant-disease-classifier Public

    Jupyter Notebook

  5. POS-Tagger POS-Tagger Public

    Python

  6. Tweeter-Authorship-Classification Tweeter-Authorship-Classification Public

    Python