The main purpose of our proposed method is used to predict the quality of water by using Machine Learning algorithm.
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Updated
Sep 6, 2023 - Jupyter Notebook
The main purpose of our proposed method is used to predict the quality of water by using Machine Learning algorithm.
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
Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.
import datasets, perform exploratory data analysis, scaling & different models such as linear or logistic regression, decision trees, random forests, K means, support vectors etc.
This project explores the predictive modeling workflow using the Kaggle competition "Titanic - Machine Learning from Disaster." It emphasizes key stages like data analysis and model evaluation, aiming to identify the optimal model. Through a real-world approach, we enhance our understanding of the workflow and emphasize rigorous model evaluation.
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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