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

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

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ML Learning Sabbatical Study Materials

• Host: GitHub
• URL: https://github.com/bfortuner/ml-study
• Owner: bfortuner
• Created: 2017-01-23T19:37:50.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-04-17T23:00:29.000Z (over 7 years ago)
• Last Synced: 2024-08-03T15:08:11.628Z (3 months ago)
• Language: Jupyter Notebook
• Size: 44.8 MB
• Stars: 132
• Watchers: 7
• Forks: 52
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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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)