Music recommender build using pandas and scikit-learn using last.fm data as training and testing data

Image Segmentation using K-Means

My projects from the Stanford Machine Learning course offered on Coursera by Professor Andrew Ng.

Machine Learning using K-Means on word recognition in order to detect spam in our mail box

A simple java implementation of K-Means clustering over a random set of points

Use recipe ingredients to categorize the cuisine by Logistic Regression. This project was made by University of Richmond ACM AI group by Joshua Hayes, Wallace He and Tom Le.

Generating political districts from US Census data.

This is personal AI shopping assistant android app, which helps in grocery shopping reminders

Kmeans ile girdi olarak verilen renkleri birbirine yakınlığına göre gruplayıp yan yana gelen küme renklerini patlatmayı sağlayan 2d oyun

Machine Learning engine generates predictions given any dataset using regression

Code for the exercises of the Machine Learning course offered by Stanford University on Coursera.

An implementation of the k-means++ clustering algorithm

Computer vision exercises

An implementation of the K-Means Clustering Algorithm using Python (with a hard-coded data set).

K means algorithm implemented with Scala

Algorithms related to clustering such as k-Medians, DBSCAN as well as vector quantization.

Exercise Files for Problem Solving with Machine Learning

Implmentation of K_Mean algorithm

Predicting the success of movie based on Social Media.

cluster documents, detect topics, and represent documents in topic space using Java, Python, Scikit-Learn, KmeansClusturing, Weka, LDA