cyberdata-mlai

This repository includes research and findings demonstrating the data processing cycle that includes:

• Reading, cleaning, and pre-processing raw data,
• Exploratory Data Analysis (EDA) with statistical and graphical techniques,
• Feature engineering for numeric and categorical features,
• Model training and evaluation.

The contents of the repo are:

• Code: Jupyter notebooks are stored in cyberdata_mlai,
• Data: included in directory cyberdata_mlai/data,
• Packages: the file requirements.txt includes all required packages. These can be installed using pip install -r requirements.txt.

How to setup VS Code for Jupyter Notebooks

Please follow the instructions in vs-code-ml if you want to setup a development environment using VS Code and Jupyter. The Jupyter notebooks can be used in Google Colab, however the packages needed will need to be installed from scratch.

Presentations related to repo

• Cackalackycon 2024