Akash upadhyay

Heart Disease Detection Model

3

**Learning Goals:** - Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm. - Learn how to preprocess medical data for machine learning, particularly in...

Heart Disease Detection Model

3

### Description of the project, you want to add. Using the dataset, ML model have been trained to detect whether a person is suffering from heart disease or not. ###...

**Heart Disease Detection Model Documentation** This project is designed to detect the likelihood of a person suffering from heart disease using two machine learning models: K-Nearest Neighbors (KNN) and Random...

Credit_Card_Fraud Detection

1

Developed a machine learning model to detect fraudulent credit card transactions with 93% accuracy on a dataset of 284,807 transactions. Preprocessed and normalized the data while handling class imbalance using...