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

Ridge Regression (gradient descent)

Implementation of decision tree and visualizing over fitting in it

Building on TuriCreate model creation.

This repo Contains the codes for the ML Specialization.

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

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

Data Science and ML work in R and Python

Lasso Regression Implementation

Implement Ada boost ensembling, train a boosted decision stump ensemble and Evaluate the effect of boosting

Building an image retrieval system with deep features using graph-lab

Predicting sentiment from product reviews using graph-lab

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

Repo Contains codes for ML Spec

Python application, classifies English apps to different categories by their description, using ML algorithms.