In this project we faced a classification problem on a very simple literature dataset, Monk, with the aim of becoming more familiar with libraries such as Keras, Tensorflow, PyTorch. Then the real aim of the project was to find the best configuration of a neural network for the solution of a regression task with two…
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In this second data mining project we worked on a dataset with attributes related to conditions such as humidity, temperature, light inside a room with the aim of predicting whether the room is occupied or not. Classifiers and imbalanced datasets Classification algorithms already seen in Data mining 1 have been applied, such as KNN, Decision…
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This is the first ever project related to data mining or machine learning. The dataset used was Carvana, a company that deals with the resale of used vehicles in the United States. Then exploratory analyzes of the dataset, data cleaning and data preparation were carried out. Several clustering algorithms have been applied, such as K-means,…
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This was the most exciting project I participated in, in collaboration with the economics department, it was a real business game, with a substantial cash prize from Fater. Fater is an important Italian company, a joint venture between Angelini and Procter & Gamble, which offers brands such as Lines (absorbents), Pampers and ACE detergent. The…
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Estimated total volume of Google searches This project concerns the analysis of the total Google queries relating to the “Premier League” research carried out in the last 12 months in the United Kingdom in order to estimate the total volume. All the analysis carried out took place with the aid of the programming language R.…
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This project analyzes a social network, not necessarily intended as a social network like Facebook (in this case we are talking about online social networks). In this case, in fact, the network was built with a web crawler in PHP, which recursively starting from a given initial node, explores all the links coming out of…
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The goal of this project is to set up a web marketing campaign for an association, monitor its progress, modify it based on the data collected and finally analyze the results. The marketing campaign was carried out thanks to a collaboration with Google, which connects non-profit companies with those who want to learn how to…
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Application of computational stigmergy to hotspot characterization through data provided by location-based social networks Definition of stigmergy in nature “Stigmergy is a communication method used in decentralized systems by which the individuals of the system communicate with each other by modifying the surrounding environment. Stigmergy was initially observed innature; for example, ants communicate with each…
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