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  1. probability-for-data-science-part-1 probability-for-data-science-part-1 Public

    basics of probability

    Jupyter Notebook 1

  2. Numerical-Optimization Numerical-Optimization Public

    we will have to develop a Python program that is able to implement the type of gradient descent variants in order to achieve the linear regression of a set of dataset.

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  3. K-means K-means Public

    Unsupervised Learning algorithms: K-means clustering

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  4. voice-recognition-app voice-recognition-app Public

    An initial voice application in Python, listens to you and then types what you said, and then answers you with a voice as well.

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  5. -Head-Pose-Estimation -Head-Pose-Estimation Public

    Head-Pose-Estimation

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  6. German-Traffic-Sign-Detection- German-Traffic-Sign-Detection- Public

    Python