Kaggle_Heart_Attack_Analysis

This is a data set that is provided on kaggle, which can be used for practicing the algorithms. The Link to the DataSet: https://www.kaggle.com/rashikrahmanpritom/heart-attack-analysis-prediction-dataset

Implementation:

-> Checking the type of data, info about the data & conforming that data is about classification data.

-> Visual analysis of the data, knowing the category and count by ploting the barplot of every column given in data set.

-> Model implementation:

1. Logistic Regression
2. Naive Bayes
3. K Nearest Neighbours
4. Support Vector Machine
5. XGBoost
6. Decision Tree

The above mentioned algorithms are implemented on the above data set with the following outcomes/observations:

Result:

Found Logistic Regression as the best result with an accuracy of 87.91%.