Step 0 - Getting Started

Homebrew is a package manager for Mac OS X. Here's how to install it beforehand.

Next, let's upgrade our default installation of Python to something greater than 2.7.

Step 1 - Install Libraries

Pip

Pip is a package manager for Python.

easy_install pip

Numpy

NumPy supports scientific computing and linear algebra support.

pip install numpy

gfortran

We need gfortran to compile SciPy, but it does not come pre-installed with Xcode. Therefore, Homebrew can help us out again:

brew cask install gfortran

Scikit

Scikit-learn's purpose is to support machine learning, and therefore it's used for many of the tasks performed routinely in machine learning. A few key features are:

• It works well with the libraries stated above.
• It helps integrate the algorithms we will use for predictive models.
• It contains methods that will help us pre-process data, measure the performance of our models, and splitting data into test sets.
• Methods for creating trained models, tuning models, and identifying which features within the models are essential.

pip install scipy

Matplotlib

To install matplotlib, we need to install pkg-config

brew install pkg-config

Mat plotlib is a 2D publication library that produces high-quality graphics.

pip install matplotlib

Pandas

Pandas is a data manipulation tool that uses data frames to access and analyze information.

pip install pandas

OpenCV

Library often used for Computer Vision.

brew install opencv

Tensorflow

TensorFlow is a free and open-source software library for dataflow and differentiable programming across a range of tasks.

pip install tensorflow

Keras

Keras is a high-level neural networks API, written in Python, and capable of running on top of TensorFlow.

pip install keras