Demo thuật toán linear regression với bài toán dự đoán điểm thi cuối kỳ

Machine learning Regression model

Weather prediction linear model built with R and data analysis techniques.

House price prediction for a US company

Credit card default prediction using Random Forest

This project is to build an ARIMA model to predict supermarket deals (Coles and Woolworths). It is written in R programming language. The dataset consists of multiple attributes such as date and items name showed on website. The price are updated progressively. The dataset is not having all items, instead only the items of interest.

Shiny test

These notebooks contain advanced analysis of ML models of different kind of datasets

House Prices - Advanced Regression Techniques, Predict sales prices and practice feature engineering

Repository to analyse and predict the churn in a telcom company.

Diabetes melitus adalah penyakit kronis yang terjadi ketika pankreas tidak dapat menghasilkan hormon yang mengatur gula darah (insulin) dengan cukup, atau ketika tubuh tidak dapat menggunakan insulin yang dihasilkannya. Prevalensi diabetes meningkat lebih cepat di negara berpenghasilan menengah dan rendah. Diperkirakan 1,6 juta kematian akibat d…

AI PROJECT - NextWordPrediction predicts the next word of the sentence the user entering

Property price prediction API for HDB resale flats

Code used in the paper "A Blood-Test Based Predictive Model for the Cognitive Decline in Probable Alzheimer’s Disease Patients"

Data science project for analyzing and estimating regional car prices using machine learning

Mobile Air Quality Monitoring System (MAQMS) - An IoT Network of Air Quality Monitoring stations connectes to Azure cloud to provide insights and predictive models of air quality in Mexico City.

This repository contains the code and resources for a comprehensive machine learning project focused on forecasting the prices of pre-owned vehicles. Exploring a diverse dataset encompassing crucial car attributes such as year, mileage, fuel type, transmission, and more.

This project utilizes machine learning to predict heart failure survival. Leveraging a Kaggle dataset, the model employs data preprocessing, feature engineering, and algorithm selection for accurate predictions. The goal is early detection and management of cardiovascular diseases, addressing a critical global health concern.