Implement the EM algorithm for a Gaussian mixture model and apply it to cluster images

Machine learning boiler plate to get you started in minutes (graphlab + sframe + jupyter + docker)

This repo is for ML Specialization through UW on Coursera

Built prediction and retrieval models for document retrieval, image retrieval, house price prediction, song recommendation, and analyzed sentiments using machine learning algorithms in Python

Another interesting use-case of TuriCreate in Machine Learning i.e. Song Recommender System.

Predicting House Prices using graphlab

This repository contains all the concepts I have tried to work on. Any suggestions or useful advises shall be greatly appreciated

Covers Basics Required to start learning ML.

Esercizi e piccoli Progetti di applicazione all'Intelligenza Artificiale utilizzando GraphLab Create e Python

Insights into the power of machine learning, and the multitude of intelligent applications that can be developed.

Document retrieval from Wikipedia data using graph-lab

A class of clustering methods that seek to build a hierarchy of clusters, in which some clusters contain others

University of Washington MOOC | Practical case-studies from regression and classification to deep learning and recommender systems

This repo Contains the codes for the ML Specialization.

Using deep features to build an image classifier using graph-lab

Ridge Regression (gradient descent)

Implementation of decision tree and visualizing over fitting in it

Building on TuriCreate model creation.

Machine Learning Specialization work from UW on Coursera