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1. honeypot honeypot Public

   I implemented a single-file, minimal honeypot (~/honeypot.py) that you can run directly. It is safe for a lab environment, simple to explain, and produces clear logs for analysis.

2. Crypto-Portofolio-Prediction-Charts- Crypto-Portofolio-Prediction-Charts- Public

   This project forecasts cryptocurrency prices and portfolio performance using Python-based predictive modeling. It combines machine-learning analysis with visual forecasts for Bitcoin (BTC), Cardano…

   Python

3. Diabities-KNN-Model Diabities-KNN-Model Public

   Built and evaluated a K-Nearest Neighbors (KNN) model to predict diabetes using patient health data. Includes preprocessing, model training, accuracy evaluation, and visualizations showing how diff…

   Jupyter Notebook

4. PCA-Cancer-Data- PCA-Cancer-Data- Public

   Performed Principal Component Analysis (PCA) on a cancer dataset to reduce dimensionality, identify key features, and visualize class separation between benign and malignant samples using Python an…

   Jupyter Notebook

5. Face-Recognition-with-Python Face-Recognition-with-Python Public

   Implemented a Face Recognition System using Python and OpenCV to detect, encode, and recognize faces from images or real-time video streams. Includes data preprocessing, feature extraction, and rea…

   Jupyter Notebook

6. Diamonds-Decision-Tree Diamonds-Decision-Tree Public

   Developed a **Decision Tree Regressor** to predict diamond prices using features like carat, cut, color, and clarity. Includes data preprocessing, model training, accuracy evaluation, and feature i…

   Jupyter Notebook