khalleud / ai2e-workshops

This repository contains all the material for AI2E workshops.

AI2E-workshops

This repository includes material relating to the online program AI Everytime Everywhere (AI2E) of School of AI Algiers. It consists of a bunch of tutorial notebooks for various machine learning and deep learning topics. In these tutorials, we will guide you through the different steps of creating a machine learning application, from collecting the data to choosing the model and finally deploying it.

During this journey, you'll discover many ML concepts and practice your acquired knowledge through different challenges and exercises.

Table of Content

Week 1 :

1. Discover the tools + Data Exploration (Part 1)
2. Data Exploration
3. Linear/Logistic Regression (Part 1)

Dependencies

Although we will dedicate one workshop session to discovering the tools, this section helps you install all the necessary requirements to execute all the notebooks.

Install and Manage your Anaconda Environment

Anaconda is an open source package management system. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software.

Using Anaconda consists of the following:

1. Install miniconda on your computer, by selecting the latest Python version for your operating system. If you already have conda or miniconda installed, you should be able to skip this step and move on to step 2.
2. Create an anaconda environment using the environment.yml file included in this repository. conda env create -f environment.yml

Note that the documentation of Anaconda is really useful, just check this link.

1. Installation

Download the latest version of miniconda that matches your system.

	Linux	Mac	Windows
64-bit	64-bit (bash installer)	64-bit (bash installer)	64-bit (exe installer)
32-bit	32-bit (bash installer)		32-bit (exe installer)

Install miniconda on your machine. Detailed instructions:

• Linux: http://conda.pydata.org/docs/install/quick.html#linux-miniconda-install
• Mac: http://conda.pydata.org/docs/install/quick.html#os-x-miniconda-install
• Windows: http://conda.pydata.org/docs/install/quick.html#windows-miniconda-install

Authors

School of AI Algiers Team =)