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donnemartin / data-science-ipython-notebooks

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Mar 20, 2024
  • Python

shawnhan108 / nature-notebook

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A set of notebooks that leverage classical ML algorithms and DL neural nets using TF, Keras and Theano to address a series of issues in the field of conservation and biology.

theano random-forest scikit-learn keras cnn data-visualization seaborn feature-selection lstm gan classification rnn image-classification vgg16 svm-classifier bidirectional-lstm cyclegan inception-resnet-v2 extra-trees-classifier tensorflow2
  • Updated Jul 29, 2020
  • Jupyter Notebook

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