Python Data Analysis Library

pandas is a fast, powerful, flexible and easy to use open source data Analysis and manipulation tool, built on top of the Python programming language.

Pandas Installation - PIP and Conda

General Utility Functions

Pandas - User Guide

Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.

conda is the package manager. Anaconda is a set of about a hundred packages including conda, numpy, scipy, ipython notebook, and so on.

Machine Learning algorithms

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.  For numerical processing with Python.

PIL: A simple image processing library.

scikit-learn: Contains the machine Learning Algorithms we’ll cover today (we’ll need version 0.20+ which is why you see the --upgrade  flag below).

Keras and TensorFlow: For deep learning. The CPU version of TensorFlow is fine for today’s example.

Examples:

Comparison of classification of Calibers

PPT

Machine Learning Algorithms