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  • Iran, Tabriz

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Mahikarimib/README.md

Machine Learning in Python and Deep Learning in PyTorch

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  1. Machine-Learning- Machine-Learning- Public

    Here I use supervised learning algorithms for some detasets ( SVM, Logistic Regression, Linear Regression, Decision Tree, Neural Networks)

    Jupyter Notebook

  2. DL_Object-Detection DL_Object-Detection Public

    I use Yolo algorithm to detect objects also by using Yolo2 to detect objects precisely

    Jupyter Notebook

  3. DL_Face-Recognition- DL_Face-Recognition- Public

    Here, we will use Cambridge AT&T Face Dataset. It contains images from 40 different persons. For each person, there are 10 different images.

    Jupyter Notebook

  4. DL_Image-Classification DL_Image-Classification Public

    Jupyter Notebook

  5. Mahikarimib Mahikarimib Public

    Config files for my GitHub profile.