Discover My World of Code
From applications to data-driven insights, each project here tells a story of passion and technical prowess.
Heart Disease Prediction
Utilizes Scikit-Learn for analyzing heart disease data, focusing on Random Forest Classifier for predictions, accuracy evaluation, and model improvement, with final serialization using pickle.
Improving Machine Learning models
Focused on hyperparameter tuning through manual adjustments, RandomizedSearchCV, and validation set performance evaluations to optimize accuracy, precision, recall, and F1 score.