Rohit Charan

Results-oriented Marketing Specialist proficient in developing creative marketing collateral for diverse projects. Establishes clear standards and enforces protocols for consistent, high-quality results.

Capstone Project in Business Analytics

Project Title:-

Prediction of Heart Diseases Using Machine Learning Methods

Project Objectives:-

Utilized a machine learning-driven system for precise heart disease prediction through patient data analysis, enhancing diagnostics, and supporting early intervention to improve healthcare results.

Data Collection:-

Collected patient demographic info, medical history, clinical measurements (blood pressure, cholesterol), symptoms, diagnostic tests (ECG), medication history, and laboratory data using Kaggle.

Methodology:-

• Data processing and feature selection using MATLAB and RStudio.

• Feature selection methods: correlation plots, PCA, regression, and ANOVA.

Conclusion:-

Utilizing machine learning models (RUS Boosted Trees, SVMs, Gaussian NB), this study predicts healthcare heart disease. Data consistency and robustness are assessed. MATLAB Classification Learner handles class imbalance for accurate results, with metrics guiding model selection, emphasizing feature selection for precision.