Pinned Repositories
2d_bin_packing_MILP
Project of Model-Driven Decision-Making Methods. The project is a minimization problem using mixed-integer linear programming. More info in final_report.pdf
A-Systematic-Review-of-Wi-Fi-and-Machine-Learning-Integration-with-Topic-Modeling-Techniques
CGMM.pytorch_geometric
Project of Intelligent Systems for Pattern Recognition exam. Implementation of Contextual Graph Markov Model for pytorch geometric.
CL_for_timeseries
data_compression_exam
data_mining_I
First Data Mining exam project. The goal is to extract information from personal data of a workers. Each worker also has a binary label that is 1 if the worker has left the company.
data_mining_II
Second part of Data Mining exam. The project is split in two parts, one about time series, the other about outlier detection.
distributed_data_analysis
Project for Distributed Data Analysis and Mining exam. The goal is to analyze Twitter data with geographical information using pySpark
Machine-Learning-project
Project of Machine Learning exam. The goal is to create our neural network from scratch, i.e., using matrices and implementing back-prop, and test it on a dataset.
MIT-UNIPI_wifi_sniffer
daniele-atzeni's Repositories
daniele-atzeni/A-Systematic-Review-of-Wi-Fi-and-Machine-Learning-Integration-with-Topic-Modeling-Techniques
daniele-atzeni/2d_bin_packing_MILP
Project of Model-Driven Decision-Making Methods. The project is a minimization problem using mixed-integer linear programming. More info in final_report.pdf
daniele-atzeni/CGMM.pytorch_geometric
Project of Intelligent Systems for Pattern Recognition exam. Implementation of Contextual Graph Markov Model for pytorch geometric.
daniele-atzeni/CL_for_timeseries
daniele-atzeni/data_compression_exam
daniele-atzeni/data_mining_I
First Data Mining exam project. The goal is to extract information from personal data of a workers. Each worker also has a binary label that is 1 if the worker has left the company.
daniele-atzeni/data_mining_II
Second part of Data Mining exam. The project is split in two parts, one about time series, the other about outlier detection.
daniele-atzeni/distributed_data_analysis
Project for Distributed Data Analysis and Mining exam. The goal is to analyze Twitter data with geographical information using pySpark
daniele-atzeni/Machine-Learning-project
Project of Machine Learning exam. The goal is to create our neural network from scratch, i.e., using matrices and implementing back-prop, and test it on a dataset.
daniele-atzeni/MIT-UNIPI_wifi_sniffer
daniele-atzeni/tensorflow_compressed_dense
daniele-atzeni/visiting_bcn