Tumor prediction from microarray data using 10 machine learning classifiers. Feature extraction from microarray data using various feature extraction algorithms.

THIS PROJECT IS ABOUT TURKISH DICTIONARY(RULES) BASED SENTIMENT ANALYSIS

Data Visualization 📊 Clustering and Classification 🗂️ techniques on Customer 🛍️ & Book 📖 datasets

Project that aims to track each player and tell for which team they play. This project was developed and tested only in gymnasium sports such as futsal, basketball and volleyball

Predict if a woman will develop breast cancer_Ensemble Techniques_Stacking

This is an end-to-end data science project which a classification algorithm was used to rank clients which would be interested in getting a car insurance.

This repository focuses on developing a machine learning model and deploying a user-friendly web application to predict resale prices of flats in Singapore. Utilizing historical resale data, the goal is to create a robust model providing valuable insights for potential buyers and sellers in estimating flat resale values.

Use various techniques to train and evaluate a model based on loan risk.

Projeto Integrador de Computação 3

ITP Additive Manufacturing (Process Monitoring) MA3

Jumlah Kasus Perceraian Berdasarkan Faktor Penyebab di Jawa Barat 2017 - 2023 dengan menggunakan algoritma support vector machine (SVM)

This repository contains a machine learning project focused on predicting the likelihood of diabetes in patients using the powerful Support Vector Machines (SVM) algorithm. Diabetes is a critical health concern worldwide, and accurate prediction can greatly aid in early intervention and personalized patient care.

This group project aims to predict the arrest of different types of crime given a specific input (day/ location/etc.) using machine learning models.

The "Rock vs. Mine Prediction" project focuses on predicting whether an underwater object is a rock or a mine using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), and logistic regression, this project provides an end-to-end solution for accurate classification.

This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine

Building a machine learning model which attempts to predict whether a loan from LendingClub will become high risk or not.