benbobyabraham/heart_disease_classification_project

Classification project if person has any sort of heart disease or not based on several biological and habitual features

Predicting Heart Disease Problem

Problem Statement

Analyze the data set and identify most relevant heart disease related risk factors as well as predict the overall risk.

Workflow

1. Perform exploratory analysis on the data and describe your understanding of the data.
2. Perform data wrangling / pre-processing a. E.g., missing data, normalization, discretization, etc.
3. Apply any two feature selection engineering techniques
4. Compare the two selected feature engineering techniques.
5. Plot top 5, 6, and 8 features.
6. Provide a high-level description of Machine Learning models – Logistic regression and Decision tree, ANN to predict.
7. Compare the performance of the two classifiers – Logistic regression and Decision tree to predict.

Inferences : KNN algorithms best suited for this problem statement

For reference : https://towardsdatascience.com/predicting-presence-of-heart-diseases-using-machine-learning-36f00f3edb2c