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This repository encompasses my research conducted at the CPS Lab, South Campus, University of Delhi, during my tenure as a research intern. The focus of our study involved identifying unique phenotypes of complications arising from myocardial infarction using k-means clustering. and this dataset is taken from UCI repository
The quality of the famous red wine dataset is predicted using Linear regression. The quality of the wine is also classified using logistic regression, SVM, Naive Bayesian, linear regressor as classifier. PCA analysis is also applied on the same
A machine learning model that uses PCA and K-Means to analyze responses of an individual to a standardized personality assessment questionnaire in order to accurately predict their scores for each of the Big Five personality traits in the OCEAN model.
This repository contains the four machine learning projects I created for my machine learning class. I used the Python package SciKit to write each algorithm.