Hands-on Introduction to Machine Learning with Python, Pandas, Matplotlib and Scikit-Learn
The first step is to download and install Python 3 on your system, together with all the necessary libraries. Luckily for us Anaconda provides a convenient way to do so. Just download and install it here:
https://www.anaconda.com/download
Next we are going to download the code and access the notebooks. The following commands should be run from a terminal.
git clone https://github.com/Dataweekends/tdwi_intro_ml_one_day.git
TIP: If you are not familiar with git and github you can just download the most recent release file from the releases tab and unpack the zip file on your computer.
cd tdwi_intro_ml_one_day
TIP: If you downloaded the zip file and not the repo, your folder name will be
tdwi_intro_ml_one_day_master, just cd into that one:cd tdwi_intro_ml_one_day_master
From the course folder, in the terminal, type:
jupyter notebook
If the command is not recognized try to close and open the terminal again, maybe the path needs to be updated after installation.
TIP: You can also launch Jupyter using the Anaconda Launcher. This will open Jupyter at your default Home location and you will have to manually navigate to the course folder.
If it didn't open automatically, you can find Jupyter at the following url:
http://localhost:8888
You are good to go! Enjoy!
The following is not necessary if you have a recent version of Anaconda installed on your computer. If you want to create a virtual environment specifically for this tutorial, we provide an environment configuration file. From the terminal follow these steps:
cd tdwi_intro_ml_one_day
conda env create
wait for the environment to create, this may take a few minutes
conda activate tdwi
activate tdwi
Check that your prompt changed to
(tdwi) $
Now you can run jupyter notebook from within the environment.
If you have installed Anaconda a long time ago, you may want to update it by running
conda update conda
and then
conda update anaconda