ml-coursera-python-tensorflow

This repository contains the python versions of the Machine Learning Coursera MOOC taught by Andrew Ng.

The starter code is available here.

The solutions are provided in numpy and tensorflow.

Each assignment is composed by a jupyter notebook and a python file. The functions should be implemented on the python file.

Some utility functions used in several assignments can be found on the utils.py file.

Submission

The solutions can be submitted directly on the jupyter notebook.

Alternatively just call the assignment python script from terminal.

The notebook code was developed by dibgerge.

Name		Name	Last commit message	Last commit date
Latest commit History 43 Commits
figures		figures
resources		resources
.gitignore		.gitignore
README.md		README.md
anomaly.ipynb		anomaly.ipynb
anomaly.py		anomaly.py
kmeans.ipynb		kmeans.ipynb
kmeans.py		kmeans.py
linreg.ipynb		linreg.ipynb
linreg.py		linreg.py
logreg.ipynb		logreg.ipynb
logreg.py		logreg.py
multiclass.ipynb		multiclass.ipynb
multiclass.py		multiclass.py
nn.ipynb		nn.ipynb
nn.py		nn.py
porterstemmer.py		porterstemmer.py
reglinreg.ipynb		reglinreg.ipynb
reglinreg.py		reglinreg.py
requirements.txt		requirements.txt
submission.py		submission.py
svm.ipynb		svm.ipynb
svm.py		svm.py
utils.py		utils.py