Python ML 1 - Giving Computers the Ability to Learn from Data

Building intelligent machines to transform data into knowledge

-- The three different types of machine learning

supervised learning, unsupervised learning, and reinforcement learning

Making predictions about the future with supervised learning

Classification for predicting class labels

Regression for predicting continuous outcomes

Solving interactive problems with reinforcement learning

Discovering hidden structures with unsupervised learning

Finding subgroups with clustering

Dimensionality Reduction for Data Compression

An introduction to the basic terminology and notations

-- A roadmap for building machine learning systems

Preprocessing – getting data into shape

Training and selecting a predictive model

Evaluating models and predicting unseen data instances

-- Using Python for machine learning

Installing Python packages

pip install SomePackage

pip install SomePackage --upgrade

Anaconda is a free—including commercial use—enterprise-ready Python distribution that bundles all the essential Python packages for data science, math, and engineering in one user-friendly cross-platform distribution. 

conda install SomePackage

conda update SomePackage

NumPy 1.9.1

SciPy 0.14.0

scikit-learn 0.15.2

matplotlib 1.4.0

pandas 0.15.2