CIC-Darknet Dataset Machine Learning Pipeline

The following objectives are implemented in the main.ipynb

1. EDA & Objectives
2. Feature Selection & Extraction
3. LazyClassifier Model Selection
4. MLFLOW implementation for reproducible pipelines
5. Nearest Centroid & LDA model implementations for binary classification (Benign & Darknet)
6. Visualisation with matplotlib & pandas.

Contributors: Nicolo Pellegrinelli, Ugnius Petryla, Giovanni Menon & Raphael Toubol