DMI Class implements the DMI imputation algorithm for imputing missing values in a dataset from Rahman, M. G., and Islam, M. Z. (2013): Missing Value Imputation Using Decision Trees and Decision Forests by Splitting and Merging Records: Two Novel Techniques

linear regression in Java

Implementation of single linear regression model in java. This program replicates the functionality of python's LinearRegression() for a univariate dataset where there is one dependent and one independent variable

This is a repository for implementing statistical learning models from scratch using the Python and Java programming languages.

A reservoir computing library for Apache Flink framework

Program which analyse population of the country and do predictions.

Classification of items with a Line, Decision Tree. State-Space Search, Genetic Algorithms, Case-Based Reasoning, Self-Organising Maps and much more!

A tool for numerical analysis

WLS, weighted linear regression in pure Java w/o any 3d party dependencies.

Data Mining Final Project

linear regression, linear interpolation, quadratic interpolation, quadratic regression in javafx

Crime Detector is a systematic approach for identifying the patterns and trends of crimes that happened in Chicago since 2001.

this is the group project COMP208, it is a SIMULATOR SYSTEM which will predict stock trend and have bounch of function such as trade or sell etc

EDI uses two layers/steps of imputation namely the Early-Imputation step and the Advanced-Imputation step.

Machine Learning Implementation with Java

A fun side project to perform machine learning algorithms using plain java code.

SiMI imputes numerical and categorical missing values by making an educated guess based on records that are similar to the record having a missing value. Using the similarity and correlations, missing values are then imputed. To achieve a higher quality of imputation some segments are merged together using a novel approach.

Introduction to Machine Learning: Machine Problems and Assignments