This repository contains renewed Java code implementing various machine learning algorithms which include:

• Swift and simple k-nearest neighbor algorithm.

• Utilization of k-means algorithm accompanied by MDL for model selection.

• Features an implementation of neural-nets.

• Emphasizes a Gibbs sampling algorithm to detect motifs in sequences.

• Incorporates a Genetic Algorithm that solves the 8 queens problem.

• Greedy agglomerative clustering coupled with basic graphing.

• Execution of an experiment involving evolutionary neural-nets.

• Update on Ensemble Selection method (shotgun).

This code is brought to you by MiniMarz, providing a fresh take on previously implemented ML algorithms, with an aim to provide a starting point and reference for those delving into the world of machine learning.