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

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

Predict if a woman will develop breast cancer_Ensemble Techniques_Stacking

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

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

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.

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

Projeto Integrador de Computação 3

ITP Additive Manufacturing (Process Monitoring) MA3

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

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 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 App will be able to predict win % of IPL teams given a match situation in 2nd Innings.

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.

Exploratory data analysis and machine learning classification models to predict employee attrition.