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cats_dogs_breeds_image_classification

This project aims to implement a custom CNN as well as well-known CNN techniques for image classification of cat and dog breeds.

datasciencecoursera

datasharing

The Leek group guide to data sharing

distibuted_svm

Distributed version of Support Vector Machine Model

exdata_base_plotting_system

Plotting Assignment 1 for Exploratory Data Analysis Datascience Specialization

hadoop-smartphone-prediction

The repo contains a Hadoop cluster configuration and a client-server app. The goal is to predict smartphone's price range using a machine learning model generated over Apache Spark, and visualize charts about smarphone statistics using data originated by Apache Hive.

itadatahack2023

This repository documents the participation of our team of data scientist students from the University of Perugia in the ITADATAhack 2023, a national event dedicated to innovation in the field of data!

kubernetes_prometheus_configuration

This repo contain a single node kubernetes cluster configuration with the use of prometheus telemetry sistem for monitoring cluster-health, pods and services with cutom metrics set up for ExpressJS server.

legalbert_legalpegasus

This repo aim to learn how to work with BERT and Pegasus, while learning the basics of trasformers

mlcoffebreak-deployed-kubernetes

CoffeBreak is a Flask-based web application that predicts the type of caffeine drink based on user input. It uses a trained machine learning model to make predictions and stores the input data in a Cassandra database

multiobjectdetection_beess

The project aim to detect all the bees inside a image

nlp_toolkit

Repository of different functions useful for general NLP task

opera-graph-visualization

This repo use data from graph drawing contest (2022) and JavaScript libraries, with purpose to search patterns through data visualizing them with graphs algorithms

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

tobaccocontrolmonitor_who

This repository presents a study on tobacco product consumption around the world, utilizing R for exploratory data analysis and statistical tests. The dataset is collected and sourced from the World Health Organization.

whatcooking

My First Machine Learning Project. What's Cooking is a dataset available on Kaggle and provided by yummly. The Dataset include a train.json file containing 39774 recipes with 20 different cuisine types that results in a unbalanced dataset. The challenge is to find a model that predict cuisine types using the ingredients as features.