Name		Name	Last commit message	Last commit date
Latest commit History 102 Commits
.gitignore		.gitignore
2017.csv		2017.csv
AirQualityUCI.csv		AirQualityUCI.csv
GlobalTemperatures.csv		GlobalTemperatures.csv
Iris.csv		Iris.csv
README.md		README.md
__init__.py		__init__.py
abalone.data		abalone.data
backprop.ipynb		backprop.ipynb
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
gan_fashion.py		gan_fashion.py
gauss_salaries.py		gauss_salaries.py
generic_utils.py		generic_utils.py
gmm_2d_iris.py		gmm_2d_iris.py
gpAirQuality.py		gpAirQuality.py
grad_desc.ipynb		grad_desc.ipynb
happiness.py		happiness.py
hist_temperature.py		hist_temperature.py
image_to_array.py		image_to_array.py
iris.data		iris.data
kmeans.py		kmeans.py
linAbalone.py		linAbalone.py
linear.ipynb		linear.ipynb
linear_separation.py		linear_separation.py
linear_surface.py		linear_surface.py
linreg_happiness.py		linreg_happiness.py
linreg_temperature.py		linreg_temperature.py
linreg_wine.py		linreg_wine.py
logisticReg.py		logisticReg.py
ml191015ex.ipynb		ml191015ex.ipynb
ml191029ex.ipynb		ml191029ex.ipynb
ml191107ex.ipynb		ml191107ex.ipynb
ml191112ex.ipynb		ml191112ex.ipynb
ml191119ex.ipynb		ml191119ex.ipynb
ml191202ex.ipynb		ml191202ex.ipynb
ml191203ex.ipynb		ml191203ex.ipynb
ml191210ex.ipynb		ml191210ex.ipynb
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_tb.py		mnist_tb.py
mnist_with_summaries.py		mnist_with_summaries.py
multiLayerPercep.py		multiLayerPercep.py
multi_normal_pdf.py		multi_normal_pdf.py
net_salary_per_town_categories.csv		net_salary_per_town_categories.csv
number.png		number.png
number_3.png		number_3.png
old_mnist_cnn_predict.py		old_mnist_cnn_predict.py
perceptron.ipynb		perceptron.ipynb
perceptron_iris.ipynb		perceptron_iris.ipynb
perceptron_surface.py		perceptron_surface.py
picasso.jpg		picasso.jpg
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
seq2seq.py		seq2seq.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_by_pyplot.py		show_mnist_by_pyplot.py
show_mnist_deeplearning_net.py		show_mnist_deeplearning_net.py
show_salaries.py		show_salaries.py
showimage.py		showimage.py
taro.jpg		taro.jpg
transfer.py		transfer.py
tree.jpg		tree.jpg
turner.jpg		turner.jpg
winequality-red.csv		winequality-red.csv
winequality-white.csv		winequality-white.csv

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pyml

This is example codes for doing machine learning in Python.

tarotez/pyml

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