Lab Material for Intro to AI & ML Course

This repository provides lab materials for the Introduction to AI & ML online course, supported by Synnovate Inc.

As the first Machine Learning project, you are going to see how a word embedding network works using a simple code snippet, running under Jupyter notebook, forked from here.

Prerequisites

Install python according to your OS. Make sure that you have successfully installed python (version 3.6 or above) in your system. To do so, in the command prompt, type the python --version command. Go ahead if the version is 3.6 or above.

To implement the word-embedding network with gensim under the Jupyter Notebook, the following packages should be installed on your system:

• jupyter
• gensim
• numpy
• nltk

To install the required packages in one shot, go ahead and download the requirments.txt file from the repository, and run the following command in the path containing the txt file:

pip install -r requirements.txt

Running under the Jupyter Notebook

The plain jupyter notebook command runs the web application that allows you to create and share documents that contain live code.

To run the word2vec implementation provided in this repository, run the following command in the command line in the path containing the word2vec.ipynb file.

jupyter notebook word2vec.ipynb