Machine Learning Programming Challenges

The content of each notebook is as follows:

Linear Regression
Logistic Regression 3A. Multiclass Classification 3B. Backpropagation on Multiclass Classification problems
Deep Neural Networks
Convolutional Neural Networks
Recurrent Neural Networks and LSTM
Autoencoders

The last notebook is the final project, where the Autoencoder is enhanced.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
DP1.ipynb		DP1.ipynb
DP2.ipynb		DP2.ipynb
DP3A.ipynb		DP3A.ipynb
DP3B.ipynb		DP3B.ipynb
DP4.ipynb		DP4.ipynb
DP5.ipynb		DP5.ipynb
DP6.ipynb		DP6.ipynb
DP7.ipynb		DP7.ipynb
DPFinal.ipynb		DPFinal.ipynb
README.md		README.md

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