Anaconda and Jupyter Installation for Machine Learning in Python

Day 18 in #100DaysOfCode

To be able to perform Machine Learning in Python, we should be using Jupyter Notebook. The Jupyter Notebook is an open-source web tool that lets data scientists create unique documents with live code, equations, computational output, visualizations, and other multimedia elements, as well as explanatory text.

To be able to use Jupiter, we should install Anaconda.

Click to Link download Anaconda

After, the Anaconda installation is finished, go to the terminal and type:

jupyter notebook

This should open a web server with the link of "localhost:8888/tree"

This is your dashboard:

The files section that you see here points to your home directory.

Go to your Desktop in Jupiter notebook. And add a new notebook for Python 3:

Then we have a new browser opening. It is an "Untitled" Jupyter Notebook by default. You can rename it. Now, if you go to your own desktop, you can see the file with the ".ipynb" extension.

Now, we can have their first code in Jupyter.