GitHub - krzakala/M2Python: Short python notebook for teaching

Short python notebooks for teaching

These are simple python codes for the purpose of teaching Monte-Carlo methods, and basic machine learning and reinforcement learning tasks.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.DS_Store		.DS_Store
ChernoffPooling.ipynb		ChernoffPooling.ipynb
Discrete.ipynb		Discrete.ipynb
Frozen-Lake.png		Frozen-Lake.png
Kernels and random features.ipynb		Kernels and random features.ipynb
Linear Regression.ipynb		Linear Regression.ipynb
MNIST_random.ipynb		MNIST_random.ipynb
PlayFrozenLame.ipynb		PlayFrozenLame.ipynb
Python CartPole PolicyLearning.ipynb		Python CartPole PolicyLearning.ipynb
README.md		README.md
Regression Problem - Ozone.ipynb		Regression Problem - Ozone.ipynb
Sampling_pi.ipynb		Sampling_pi.ipynb
cart.gif		cart.gif
datasets.py		datasets.py
k-Nearest Neighbors.ipynb		k-Nearest Neighbors.ipynb
knn1.py		knn1.py
knn2.py		knn2.py
lr1.py		lr1.py
lr2.py		lr2.py
lr3.py		lr3.py
mnist_multilayer.ipynb		mnist_multilayer.ipynb
rks.png		rks.png
rks1.py		rks1.py
rks2.py		rks2.py
rks3.py		rks3.py
rks4.py		rks4.py
sklearn.png		sklearn.png