About my first project (kaggle guided).

• Built machine learning models in JupyterNotebook to predict heart disease based on patient CSV health data.
• Leveraged Python using libraries such as Pandas, NumPy, and Scikit-Learn for preprocessing data, feature engineering, and model training.
• Implemented k-Nearest Neighbors (k-NN) and optimised model performance using hyperparameter tuning.
• Achieved 86.96% accuracy with k-NN and enhanced analysis with insightful visualisations using Matplotlib.