ML-Easter-Bootcamp

Designed to take you from zero experience to GANs within a week.

Work through the notebooks sequentially starting with Day X then Day 0.

All teaching material written by Haron Shams and Harry Berg. Github usernames: haron1100, haaaarryb

Name		Name	Last commit message	Last commit date
CVAE.py		CVAE.py
Day 0 - Intro To Python.ipynb		Day 0 - Intro To Python.ipynb
Day 0 - Linear Regression in PyTorch.ipynb		Day 0 - Linear Regression in PyTorch.ipynb
Day 0 - Numpy Linear Regression.ipynb		Day 0 - Numpy Linear Regression.ipynb
Day 1 - Logistic Regression.ipynb		Day 1 - Logistic Regression.ipynb
Day 1 - PCA.ipynb		Day 1 - PCA.ipynb
Day 2 - Convolutional Neural Networks.ipynb		Day 2 - Convolutional Neural Networks.ipynb
Day 2 - Neural Networks.ipynb		Day 2 - Neural Networks.ipynb
Day 3 - Recurrent Neural Networks.ipynb		Day 3 - Recurrent Neural Networks.ipynb
Day 3 - Tricks to improve performance.ipynb		Day 3 - Tricks to improve performance.ipynb
Day 4 - Autoencoders.ipynb		Day 4 - Autoencoders.ipynb
Day 4 - Generative Adversarial Networks.ipynb		Day 4 - Generative Adversarial Networks.ipynb
Day X - Universal concepts, preamble & glossary.ipynb		Day X - Universal concepts, preamble & glossary.ipynb
GAN.png		GAN.png
Iris.csv		Iris.csv
Kmeans_animation.gif		Kmeans_animation.gif
README.md		README.md
VAEnew.py		VAEnew.py
activation.png		activation.png
aecopy.py		aecopy.py
airfoil_self_noise.dat		airfoil_self_noise.dat
autoencoder.py		autoencoder.py
cancer_data.csv		cancer_data.csv
cnn.gif		cnn.gif
cnn.png		cnn.png
gradientdescent.png		gradientdescent.png
lyrics		lyrics
nn.png		nn.png
nnfeaturevis.png		nnfeaturevis.png
nngrad.png		nngrad.png
pcafigs1.png		pcafigs1.png
pcafigs2.png		pcafigs2.png
pcagraphs.py		pcagraphs.py
poorhessian.webp		poorhessian.webp
rnn.jpg		rnn.jpg
rnnlayouts.jpeg		rnnlayouts.jpeg
sigderiv.png		sigderiv.png
tricks.py		tricks.py
vaecopy.py		vaecopy.py

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