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Machine-Learning-with-Scikit-Learn-Python-3.x

reddyprasade / Machine-Learning-with-Scikit-Learn-Python-3.x

Star 57

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised lea…

python machine-learning reinforcement-learning vector scikit-learn sklearn machine-learning-algorithms scikit-image regression prediction consists supervised-learning classification semi-supervised-learning python-3 unsupervised-learning scikit-model scikit-learn-api scikit-learn-python
  • Updated Jun 16, 2021
  • Jupyter Notebook

fazildgr8 / AppliedDeepLearning

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This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied …

cnn consists gan jupyter-notebooks autoencoders
  • Updated Sep 26, 2020
  • Jupyter Notebook

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