Heart-Disease Classification is a Machine Learning Classification type project. As in ML , we all know that There are various steps to build a perfect machine learning model.
- Problem Definition
- Data Collection
- Analysis
- Features
- Modelling
- Experimentation
In this project , we are given a csv file of patients attributes like age. sex, thalach. etc. through which we have to predict which patients have most chances of having heart disease. Data Science tools like :
- Numpy
- Pandas
- Matplotlib
- Searborn .......are used for data analysis.
Machine Learning models like
- Random Forest
- Logistic Regresiion
- KNeighbors Classifier .......are used for predicting the accuracy or target percentage ( chances of having heart disease).