🚀 Unmasking Team Rocket

In real-world scenarios like security and fraud detection, threats may not always look alike — but they often act alike. Inspired by Team Rocket’s consistent intent despite changing roles and disguises, this project explores how learning behavioral patterns can help identify threat-like actions, even when surface appearances vary.

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🎯 Objective

• Build a binary classifier to detect threat-like behavior (here detect presence of Team Rocket Member)
• Tackle an imbalanced dataset (82:18 non-threat to threat)
• Use models like Random Forest and XGBoost
• Evaluate using accuracy, precision, recall, and ROC-AUC

To protect the world from threat…
To catch attackers you won’t forget!
Random Forest Classifier!
XGBoost Classifier!
Surrender now…
Or prepare to blast off with insight!

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Tech Stack / Libraries Used

Tool / Library	Task
Python	Core programming language
pandas	Data manipulation and preprocessing
NumPy	Numerical computations
scikit-learn	Model training and evaluation
matplotlib / seaborn	Static data visualization
plotly	Interactive visualizations
Streamlit	Web app deployment
joblib	Saving and loading ML models

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📊 Results

🔁 Random Forest Classifier

Metric	Value
Accuracy	~0.916
ROC-AUC	~0.80

🔘 XGBoost Classifier

Metric	Value
Accuracy	~0.905
ROC-AUC	~0.79

🔗 Live App: Click here to try it out

📁 File Structure

Unmasking_Team_Rocket/
│
├── CODES
|    ├── Unmasking_Team_Rocket.ipynb            🔹 Jupyter notebook containing entire ML Workflow
|    ├── unmaksing_team_rocket.py               🔹 Python File
|    ├── Team_Rocket.png                        🔹 Image embedded in notebook
|    └── pokemon_team_rocket_dataset.csv        🔹 Dataset
|
├── WEB
|    ├── xgb_model.pkl                          🔹 Gathers best model with its parameters
|    ├── model_features.pkl                     🔹 Gathers model features (columns for prediction)
|    ├── requirements.txt                       🔹 Things required to make deployment work
|    └── app.py                                 🔹 Streamlit code for deployment
|
├── LICENSE                                     🔹 MIT License
└── README.md                                   🔹 This file !!

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👤 Author

Anuj Kulkarni — aka — steam-bell-92