Linux Anaconda Python and Neural Networks

Preface Linux Anaconda Python and Neural Networks

This tutorial show you how to set up the environment for machine learning, and data science using Anaconda Navigator. This tutorial is for Linux Ubuntu, but Windows is similar. You need flexibility in setting up an environment since the modules are updated frequently. The minimum module setup for machine learning includes Python, TensorFlow, and Keras. Anaconda Navigator allows you to add, and remove modules easily. Once setup Anaconda Navigator comes with editors such as PyCharm. By the time we are done with this tutorial you will be ready to run a simple example using the pima-indians-diabetes database.

Table of Contents

Chapter 1 – Installation of Anaconda Python and Anaconda Navigator on Ubuntu

• 1.1 Prerequisites
• 1.2 Install Anaconda Python

Chapter 2 - Using Anaconda Navigator

• 2.1 Using Anaconda Navigator

Chapter 3 - Nano Editor for Linux - Introductory Tutorial

• 3.1 Nano Editor for Linux

Chapter 4 - Your First Machine Learning Program

• 4.1 Copy Code to Nano and Run

Chapter 5 - How this Neural Program Works

• 5.1 Download Database
• 5.2 The Code
• 5.3 Run Program
• 5.4 Describe Program

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Conda Navigation

Table of Contents
Ch1-Installation
Ch2-Conda Navigator
Ch3-Nano Editor
Ch4-Run a Program
Ch5-Program Explained