The main purpose of our proposed method is used to predict the quality of water by using Machine Learning algorithm.
This repository contains a research paper and its details done by Tisha Jillian and Tara Nirmala Kusuma as an AoL (Assurance of Learning) for COMP6696001 - Research Methodology in Computer Science Course.
Machine Learning Methods apply on Breast Cancer Wisconsin (Original) Data Set.
Used Gaussian Naive Bayes Classifier and XG Boost Classifier for Credit Card Fault Detection
import datasets, perform exploratory data analysis, scaling & different models such as linear or logistic regression, decision trees, random forests, K means, support vectors etc.
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
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.
ECE NTUA Assignments
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