1. Description
2. Requirements
3. More info
4. Authors

Repository for Machine Learning Especialization projects in Holberton School.

math Essential maths for Machine Learning.

supervised_learning Basic topics for deep neural networks.

• Allowed editors: vi, vim, emacs
• All your files will be interpreted/compiled on Ubuntu 16.04 LTS using python3 (version 3.5)
• Your files will be executed with numpy (version 1.15)
• All your files should end with a new line
• The first line of all your files should be exactly #!/usr/bin/env python3
• A README.md file, at the root of the folder of the project, is mandatory
• Your code should follow pycodestyle (version 2.5)
• All your modules should have documentation (python3 -c 'print(import("my_module").doc)')
• All your classes should have documentation (python3 -c 'print(import("my_module").MyClass.doc)')
• All your functions (inside and outside a class) should have documentation (python3 -c 'print(import("my_module").my_function.doc)' and python3 -c 'print(import("my_module").MyClass.my_function.doc)')
• Unless otherwise noted, you are not allowed to import any module
• All your files must be executable
• The length of your files will be tested using wc

Follow the instructions listed in Using Vagrant on your personal computer, with the caveat that you should be using ubuntu/xenial64 instead of ubuntu/trusty64.

Python 3.5 comes pre-installed on Ubuntu 16.04. How convenient! You can confirm this with python3 -V

wget https://bootstrap.pypa.io/get-pip.py
sudo python3 get-pip.py
rm get-pip.py

To check that pip has been successfully downloaded, use pip -V. Your output should look like:

$ pip -V
pip 19.1.1 from /usr/local/lib/python3.5/dist-packages/pip (python 3.5)

$ pip install --user numpy==1.15
$ pip install --user scipy==1.3
$ pip install --user pycodestyle==2.5

To check that all have been successfully downloaded, use pip list.

Diego Gómez - Linkedin - Twitter