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PROJECTS


01
Airbnb Demand & Availability Forecasting
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Developed a Random Forest model to predict Airbnb booking likelihood, achieving 90% accuracy and 0.94 F1-score.
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Engineered and analyzed features like distance to city center, seasonality, and encoded neighborhood patterns.
02
Crypto Currency Price Analysis using Artificial Intelligence
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Built an AI system for real-time cryptocurrency price analysis using machine learning algorithms.
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Designed predictive models based on historical data to forecast trends and market fluctuations.

03

Semi-Supervised Machine Learning Approach for DDoS Detection
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Designed a semi-supervised ML model that identified DDoS attacks with 94.8% accuracy using hybrid data sets.
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Improved threat detection on evolving patterns by incorporating anomaly detection and adaptive learning.
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