This project aims at teaching you the fundamentals of Data Science with python. It contains the example code and case studies. It is constitute the practical part of our AI Sciences book: Data Science from Scratch with Python

Simply open the Jupyter notebooks you are interested in:

• Option 1: Using jupyter.org's notebook viewer. Github.com's notebook viewer also works but it is slower and the math formulas are not displayed correctly.
• Option 2: cloning this repository and running Jupyter locally. This option lets you play around with the code. In this case, follow the installation instructions below.
• Best Option: Download the notebooks and use Google Colab https://colab.research.google.com because it is already have the GPU for deep learning.

First, you will need to install git, if you don't have it already. Next, clone this repository by opening a terminal and typing the following commands: $ cd $HOME # or any other development directory you prefer $ git clone https://github.com/AISCIENCES/dsfs-python.git $ cd dsfs-python If you do not want to install git, you can instead download master.zip, unzip it, rename the resulting directory to dsfs-python and move it to your development directory.