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Data Science Tutorials

Mostly scikit-learn and tensorflow implementations

  • MNIST classification (Single-layer NN, Multi-layer NN, Convolutional NN) (Tensorflow)
  • Titanic survival classification (Scikit-Learn)
  • Housing price estimation on california housing dataset (Scikit-Learn)
  • Bitcoin price movement estimation (classification) (Tensorflow)
  • Image compression with k-means (Scikit-Learn)
  • Deep Convolutional Generative Adversarial Network (DCGAN) for Pokemon generation (Tensorflow)

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Simple but intense ML/DL projects mostly implemented with Scikit-learn and Tensorflow

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