The main purpose of our proposed method is used to predict the quality of water by using Machine Learning algorithm.

Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.

Used Gaussian Naive Bayes Classifier and XG Boost Classifier for Credit Card Fault Detection

Machine Learning Methods apply on Breast Cancer Wisconsin (Original) Data Set.

ECE NTUA Assignments

Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.

A from scratch (mostly) implementation of the Gaussian Naive Bayes Classifier for 1D data and 2 Class classification

import datasets, perform exploratory data analysis, scaling & different models such as linear or logistic regression, decision trees, random forests, K means, support vectors etc.