Heart Disease Detection Using Machine Learning

Objective

The objective of this project is to build the different machine learning algortihms for the heart disease detection. In this project various algortihms are applied to find the best model based upon the data.

The dataset can be download from here https://www.kaggle.com/ronitf/heart-disease-uci Download the dataset and put it in same folder

Techniques Used

• Data Cleaning
• Data Visualization
• Machine Learning Modeling

Algortihms Used

1. Logistic Regression
2. Support Vector Machine
3. Random Forest Classifier
4. KNN
5. Gradient Boosting
6. Naivye Bayes

Guide Lines

Packages and Tools Required:

Pandas 
Matplotlib
Seaborn
Scikit Learn
Jupyter Notebook

Package Installation

pip install numpy
pip install pandas
pip install seaborn
pip install scikit-learn
pip install matplotlib

Jupyter Notebook Installation Guide https://jupyter.org/install