Here we have fully implemented a number of algorithms related to machine learning

Model buat TA Sentimen and Topik Berita Indonesia

📊 Work Plan: Advanced classification techniques for urban areas using optical and SAR images

Research project supervised by Professor Thomas Sinclair of Purdue Mathematics

The primary objective is to deploy a robust classifier model that accurately predicts user recommendations, empowering airlines to strategize effectively, understand user behavior, optimize services, and align business strategies with financial objectives.

This project and exercises were made for the Models in credit and operational risk course at the AGH UST in 2022. All provided methods are a result of my work after hours, when I was solving given tasks (topics).

A comparison of MLPs and SVMs (using python) for the binary classification of heart disease

Support Vector Machines by sklearn were trained on a dataset of cancel cells to classify benign and maligant cells. Best hyperparameter 'kernel' was found with jaccard score = 0.93 and f1 score = 0.95.

Perform sentiment analysis on the Large Movie Review Dataset using various machine learning algorithms and evaluate their performance.

A simple machine learning project that explores the use of various classification algorithms to predict hiring decisions based on interview and individual data. The project utilizes Logistic Regression, RandomForestClassifier, and Support Vector Machines (SVM) to build predictive models.

This project involves disease prediction and providing recommendations for medicines, workouts, and diets based on the predicted disease. The model was trained using the Support Vector Machine (SVM) algorithm, achieving an accuracy score of 96%. The user interface is built with HTML, CSS, and Flask.

Loan Application Automation

A dataset from the UCI Machine Learning Repository used for classifying gamma and hadron events recorded by the MAGIC Gamma Telescope, suitable for binary classification problems in machine learning.

This repository contains code for classifying images of cats and dogs using a Support Vector Machine (SVM) classifier. The features for the classification are extracted using a pre-trained VGG16 model.

In this project I have used the Support Vector Machine Classifier Algorithm, to classify whether a person should be given a loan or not.

comparative Analysis of Phishing Detection RFC vs SVM

The HAR model classifies human activities across domains, using Kernelized SVMs after thorough data preprocessing and EDA.

This project focuses on developing a classification system for prostate MRI images using advanced image processing and machine learning techniques. The goal is to accurately differentiate between healthy and diseased prostate tissues to aid in early diagnosis and treatment planning for prostate abnormalities.

Software Detects the Parkinson's Disease of the Person using the Voice Input. Language used is Python.