A sample machine learning project to showcase sentiment analysis with Scikit-Learn and other python library and packages for educational use. To attend this workshop, you are expected to have basic Python knowledge.

For prepare for this workshop, you will need Python 3 or above and Juyter Notebook. You can install them either individually or just install Anaconda package.

1. Python 3 or above. To download and install Python, go to https://www.python.org/downloads/

2. After you install python, run the following command in Command Prompt or Terminal to install Jyputer notenook:

    `pip install notebook`
   

If you have issue running the the pip command, please refer to this page: https://pip.pypa.io/en/stable/installing/

For this workshop, we will also need a few libraries: Numpy, Pandas, and Seaborn. Below is the instruction:

1. If you have standalone python:

   `pip install numpy pandas seaborn`
   

2. if you have anaconda:

   `conda install numpy pandas seaborn`
   

3. NLTK packages installed If you are using standalone Python, run the following command:

   pip install nltk

   If you are using Anaconda, run the following command:

   install -c anaconda nltk

Made for the Data Visualization Lab @ Georgia Tech.