The environment for building machine learning models

Environments for ML

Are you wondering which python environment to use while building machine learning models? The best option available is the “ipython or jupyter notebook”

Why jupyter notebook?

o   It has browser-based user interface. Which means, editing and running notebook documents via a web browser.

o   Requires no internet access.

o   Produces interactive output

o   Jupyter notebooks are a series of “cells” containing executable code, or markdown, the popular HTML markup language for prose descriptions.

o   These notebooks can be saved and easily shared in .ipynb JSON format.

o   Open-source software, open-standards, and services.

Let’s begin by installing a jupyter notebook in your mac OS.

Step 1: Install anaconda

What? Anaconda for a python? What is the next step to enter a safari world?

Yes.! In this safari of programming and modeling, we need both python and anaconda.

Anaconda is a package management tool which manages the software’s libraries and helps us get our work done.

So, to download anaconda, visit the website and begin downloading. Install it, by following the instructions on the website.

Step 2: Running notebook

When the installing is done, you are all set to run a notebook and start building models.

In order to start the notebook –

      i.         Open terminal

     ii.         Type – “jupyter notebook” or “ipython notebook”

The terminal automatically opens a browser and displays a web page.

Refer the following short video to get started.

Hope you are all set for the modeling.