Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

https://github.com/bfortuner/ml-study

ML Learning Sabbatical Study Materials
https://github.com/bfortuner/ml-study

Last synced: 2 days ago
JSON representation

ML Learning Sabbatical Study Materials

Lists

README

        

# ML Study
Notebooks and programs for machine learning study

## Setup

1. Install Anaconda
2. Install python libraries
```
pip install bcolz
pip install theano
pip install keras
```

## Tools
Tutorials and cheat sheets for libraries and tools

#### Pandas

* [Awesome Guide](https://github.com/ritchieng/pandas-guides)
* [My Cheatsheet](https://github.com/bfortuner/kaggle-submissions/blob/master/tutorials/titanic/PandasQuickstart.ipynb)
* [Quickstart](http://pandas.pydata.org/pandas-docs/stable/10min.html)
* [Plotting](http://pbpython.com/simple-graphing-pandas.html)

#### Numpy

* [Python Data Science (Numpy, Matplotlib, Pandas)](https://github.com/jakevdp/PythonDataScienceHandbook)

#### Scikit-learn

[Data School ML Basics with Scikit](https://github.com/ritchieng/machine-learning-dataschool)

#### Keras

* [Setup](http://machinelearningmastery.com/introduction-python-deep-learning-library-keras/)

#### Tensorflow

Tutorial on Tensorflow

#### Matplotlib

* [3D Plots](http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html)
* [Colormaps](http://matplotlib.org/xkcd/examples/color/colormaps_reference.html)

#### Tmux

* [Wiki on Tmux](http://wiki.fast.ai/index.php/Tmux)

## Resources

* [Fast.ai Wiki](http://wiki.fast.ai/index.php/Main_Page)
* [Python ML Mini-Course](http://machinelearningmastery.com/python-machine-learning-mini-course)
* [First Neural Network with Keras](http://machinelearningmastery.com/tutorial-first-neural-network-python-keras)