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Machine learning course using Python

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.gitignore
.gitignore
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
binSimpPercep.py
binSimpPercep.py
 
 
binomial.py
binomial.py
 
 
cifar10_cnn_copied.py
cifar10_cnn_copied.py
 
 
cifar10_cnn_load_data.py
cifar10_cnn_load_data.py
 
 
cifar10_cnn_train.py
cifar10_cnn_train.py
 
 
clusIris.py
clusIris.py
 
 
cnn_predict.py
cnn_predict.py
 
 
cnn_train.py
cnn_train.py
 
 
corr_happiness.py
corr_happiness.py
 
 
data_utils.py
data_utils.py
 
 
distrib_salaries.py
distrib_salaries.py
 
 
generic_utils.py
generic_utils.py
 
 
gmm_2d_iris.py
gmm_2d_iris.py
 
 
gpAirQuality.py
gpAirQuality.py
 
 
hist_temperature.py
hist_temperature.py
 
 
image_to_array.py
image_to_array.py
 
 
linAbalone.py
linAbalone.py
 
 
linreg_happiness.py
linreg_happiness.py
 
 
logisticReg.py
logisticReg.py
 
 
mnist.py
mnist.py
 
 
mnist_cnn_predict.py
mnist_cnn_predict.py
 
 
mnist_cnn_predict_simple.py
mnist_cnn_predict_simple.py
 
 
mnist_cnn_train.py
mnist_cnn_train.py
 
 
mnist_cnn_train_and_test.py
mnist_cnn_train_and_test.py
 
 
mnist_tensorboardcolab.py
mnist_tensorboardcolab.py
 
 
mnist_with_summaries.py
mnist_with_summaries.py
 
 
multiLayerPercep.py
multiLayerPercep.py
 
 
multi_normal_pdf.py
multi_normal_pdf.py
 
 
old_mnist_cnn_predict.py
old_mnist_cnn_predict.py
 
 
polyAbalone.py
polyAbalone.py
 
 
prog1.py
prog1.py
 
 
random_walk.py
random_walk.py
 
 
resize_images.py
resize_images.py
 
 
resnet_prediction.py
resnet_prediction.py
 
 
run_face_train_and_predict.py
run_face_train_and_predict.py
 
 
see_mnist.py
see_mnist.py
 
 
setup.sh
setup.sh
 
 
show_cifar10.py
show_cifar10.py
 
 
show_layers.py
show_layers.py
 
 
show_mnist.py
show_mnist.py
 
 
show_mnist_amazon_aws.py
show_mnist_amazon_aws.py
 
 
show_mnist_deeplearning_net.py
show_mnist_deeplearning_net.py
 
 
show_mnist_image.py
show_mnist_image.py
 
 
showimage.py
showimage.py
 
 

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pyml

This is example codes for doing machine learning in Python.

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Machine learning course using Python

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