Using KNN classifier as the final model to determine whether a customer would give rating 1.

My MTech project focuses on classifying hand gestures using surface Electromyography (sEMG) signals to enable intuitive control for assistive and rehabilitation technologies. I worked with large-scale EMG datasets (80,000×8 signals per trial) and built a complete ML pipeline for accurate classification of the hand postures.

EDA Analysis and deployments

🚗 KNN Classification for Car Safety | Implements K-Nearest Neighbors (KNN) to classify car safety levels using the Car Evaluation Dataset. Features data preprocessing, feature scaling, and hyperparameter tuning with RandomizedSearchCV, resulting in improved accuracy. 📊🔍