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ML Learning Sabbatical Study Materials

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data
data
 
 
titanic
titanic
 
 
tools
tools
 
 
.gitignore
.gitignore
 
 
CGAN.ipynb
CGAN.ipynb
 
 
DCGAN.ipynb
DCGAN.ipynb
 
 
GAN.ipynb
GAN.ipynb
 
 
ImageHandling.ipynb
ImageHandling.ipynb
 
 
LinearRegressionBasic.ipynb
LinearRegressionBasic.ipynb
 
 
LinearRegressionBasicWithMatrix.ipynb
LinearRegressionBasicWithMatrix.ipynb
 
 
LinearRegressionMultiVariable.ipynb
LinearRegressionMultiVariable.ipynb
 
 
LogisticRegression.ipynb
LogisticRegression.ipynb
 
 
NeuralNetwork.ipynb
NeuralNetwork.ipynb
 
 
NeuralNetworkReLU.ipynb
NeuralNetworkReLU.ipynb
 
 
NeuralNetworkSigmoid.ipynb
NeuralNetworkSigmoid.ipynb
 
 
PytorchBasics.ipynb
PytorchBasics.ipynb
 
 
README.md
README.md
 
 
babi-memnn.ipynb
babi-memnn.ipynb
 
 
bcolz_array_iterator.py
bcolz_array_iterator.py
 
 
benchmark.py
benchmark.py
 
 
cnn_notes.ipynb
cnn_notes.ipynb
 
 
deepcolor.ipynb
deepcolor.ipynb
 
 
dogs_cats_redux.ipynb
dogs_cats_redux.ipynb
 
 
fast_image_processing.ipynb
fast_image_processing.ipynb
 
 
fisheries.ipynb
fisheries.ipynb
 
 
fisheries_transfer.ipynb
fisheries_transfer.ipynb
 
 
handwriting_recognize.ipynb
handwriting_recognize.ipynb
 
 
imagenet_process.ipynb
imagenet_process.ipynb
 
 
keras_cheatsheet.ipynb
keras_cheatsheet.ipynb
 
 
keras_text_generator.py
keras_text_generator.py
 
 
kmeans_test.ipynb
kmeans_test.ipynb
 
 
mnist_demo.ipynb
mnist_demo.ipynb
 
 
multitasking_python.ipynb
multitasking_python.ipynb
 
 
neural_style_transfer.ipynb
neural_style_transfer.ipynb
 
 
new_neural_style_transfer.ipynb
new_neural_style_transfer.ipynb
 
 
pytorch_cheatsheet.ipynb
pytorch_cheatsheet.ipynb
 
 
rnn_notes.ipynb
rnn_notes.ipynb
 
 
statefarm.ipynb
statefarm.ipynb
 
 
text_generation.ipynb
text_generation.ipynb
 
 
vgg16_avg.py
vgg16_avg.py
 
 
visdom_demo.py
visdom_demo.py
 
 
website-GAN.ipynb
website-GAN.ipynb
 
 

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ML Study

Notebooks and programs for machine learning study

Setup

  1. Install Anaconda
  2. Install python libraries
pip install bcolz
pip install theano
pip install keras

Tools

Tutorials and cheat sheets for libraries and tools

Pandas

Numpy

Scikit-learn

Data School ML Basics with Scikit

Keras

Tensorflow

Tutorial on Tensorflow

Matplotlib

Tmux

Resources

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ML Learning Sabbatical Study Materials

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  • Jupyter Notebook 99.9%
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