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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
Esercizi e piccoli Progetti avanzati di applicazione all'Intelligenza Artificiale ed al Machine Learning utilizzando GraphLab Create, Google TensorFlow e Python
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.
Predicting House Prices using graphlab
Another interesting use-case of TuriCreate in Machine Learning i.e. Song Recommender System.
This repo Contains the codes for the ML Specialization.
Insights into the power of machine learning, and the multitude of intelligent applications that can be developed.
Esercizi e piccoli Progetti di applicazione all'Intelligenza Artificiale utilizzando GraphLab Create e Python
Python application, classifies English apps to different categories by their description, using ML algorithms.
Machine Learning Specialization work from UW on Coursera
University of Washington MOOC | Practical case-studies from regression and classification to deep learning and recommender systems
Repo Contains codes for ML Spec
Predicting sentiment from product reviews using graph-lab
Implement Ada boost ensembling, train a boosted decision stump ensemble and Evaluate the effect of boosting
Implementation of decision tree and visualizing over fitting in it
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
Using deep features to build an image classifier using graph-lab
Building an image retrieval system with deep features using graph-lab
Lasso Regression Implementation
Ridge Regression (gradient descent)
Building on TuriCreate model creation.
Product Sentiment Analysis with TuriCreate
Data Science and ML work in R and Python