Heart Disease Prediction Using Machine Learning
Heart Disease Prediction Using Machine Learning
Tech Projects
My Tech Projects
As a Computer Scientist and Data Science graduate, I’ve worked on several real-world and academic projects using machine learning, artificial intelligence, and database systems. Below is a selection of my key work.
Heart Disease Prediction Using Machine Learning
This capstone MSc project involved training and comparing several ML models (Logistic Regression, Random Forest, XGBoost, etc.) to predict the likelihood of heart disease using a structured medical dataset.
Skills & Tools: Python, pandas, scikit-learn, matplotlib, seaborn, model evaluation (Accuracy, F1, ROC)
Sentiment Analysis of Android App Reviews
This NLP project used Support Vector Machines and K-Nearest Neighbors to classify app reviews from Amazon into Positive, Neutral, or Negative sentiments. It focused on real-world product feedback for mobile applications.
Skills & Tools: Python, NLTK, TF-IDF, CountVectorizer, SVM, Confusion Matrix, Data Visualization
Relational Movie Database with SQL
Designed and queried a relational movie database using SQL. The project focused on efficient schema design, relational integrity, and SQL queries to retrieve insights about movie genres, directors, and revenue trends.
Skills & Tools: SQL, PostgreSQL, relational schema, joins, aggregations, normalization
Cardiovascular Disease Prediction
A machine learning project predicting cardiovascular disease from anonymized health records using Random Forest and Logistic Regression. Included feature selection and visual insights.
Skills & Tools: Python, scikit-learn, seaborn, feature importance, classification
Correlation Matrix
The heatmap shows the correlations between numerical features. Some features like height and weight have a notable correlation, as expected.
Distribution of General Health
The majority of respondents reported their general health as “Very Good” and “Good”.
Heart Disease Prevalence
There are significantly more respondents without heart disease compared to those with heart disease.
Distribution of BMI
The BMI distribution is slightly right-skewed, with a peak around the normal BMI range.
Recent posts
Teaching & Education
Teaching & Education