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Heart Disease Prediction Dashboard
The Heart Disease Prediction Dashboard is a machine learning-based healthcare project designed to predict the likelihood of heart disease using patient health data. The project involves data preprocessing, exploratory data analysis, feature scaling, and model training using algorithms such as Logistic Regression and Random Forest. Visualization tools were used to analyze patterns and improve model understanding. Developed in Python using Scikit-learn, Pandas, NumPy, Matplotlib, and Seaborn within a Jupyter Notebook environment, the dashboard helps support early diagnosis and data-driven healthcare decision-making.
Built With
- algorithms
- analysis
- data
- development
- evaluation
- forest
- hyperparameter
- jupyter
- logistic
- matplotlib
- metrics
- model
- modeling:
- notebook
- numpy
- pandas
- platform:
- processing:
- python
- random
- regression
- scikit-learn
- seaborn
- split
- statsmodels
- train-test
- visualization:
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