emailic
Machine Learning Engineer with a MSc in Data Science from the University of Pisa and a background in Economics from the University of Bologna.
ChaptrRijeka, Croatia
Pinned Repositories
Algorithms_Data_Structures
Some exercises I've done in order to practice my algorithms and data structure skills.
Binary-BERT
This is a simple tutorial for using a binary BERT model by the HuggingFace library
DataWarehouse-SQL-OLAP-MDX-Sales-Data
This project was done at the University of Pisa in collaboration with my colleagues Federica Guiducci and Valentina Olivotto under supervision of professors Anna Monreale and Roberto Pellungrini. It is a Data Warehousing project featuring the use of Analytic SQL and various other tools such as Visual Studio in MS Azure, Microstrategy and Power BI..
emailic
Google-Interview-Prep-SE-CV
All you need in order to prepare for a Machine Learning Software Engineer NLP/CV interview at Google
Hadoop-ApacheSpark-Clustering-Classification-Dimensionality-Reduction
This is the project done in collaboration with my colleagues Roberta Pappolla and Lorenzo Ferri. The scope of the project was a simulation of a machine learning/data science project on a big dataset. Thus, a cluster computing framework was used: Hadoop/Apache Spark.
Object-Detection-Classification-CNN-COCO
Project done at the Politechnic University of Madrid together with my colleagues Anamarija Eres and Dominik Kos.
Sensor-Data-Time-Series-Classification-Forecasting-Clustering-Anomaly-Detection-Explainability
In this repository you may find data and code used for a machine learning project in sensor data done in collaboration with my colleagues Lorenzo Ferri and Roberta Pappolla at the University of Pisa.
White_Space_Coding_Challenge
Here you may find my solutions to the two problems adapted from the coding challenge by the White Space Solutions. The solutions feature MST algorithm for graphs and constraint programming using the cp_sat solver.
YOLOv5-Microplasticos
Using YOLOv5 to detect and classify microplastics fragments from images
emailic's Repositories
emailic/Google-Interview-Prep-SE-CV
All you need in order to prepare for a Machine Learning Software Engineer NLP/CV interview at Google
emailic/YOLOv5-Microplasticos
Using YOLOv5 to detect and classify microplastics fragments from images
emailic/Algorithms_Data_Structures
Some exercises I've done in order to practice my algorithms and data structure skills.
emailic/Binary-BERT
This is a simple tutorial for using a binary BERT model by the HuggingFace library
emailic/DataWarehouse-SQL-OLAP-MDX-Sales-Data
This project was done at the University of Pisa in collaboration with my colleagues Federica Guiducci and Valentina Olivotto under supervision of professors Anna Monreale and Roberto Pellungrini. It is a Data Warehousing project featuring the use of Analytic SQL and various other tools such as Visual Studio in MS Azure, Microstrategy and Power BI..
emailic/Sensor-Data-Time-Series-Classification-Forecasting-Clustering-Anomaly-Detection-Explainability
In this repository you may find data and code used for a machine learning project in sensor data done in collaboration with my colleagues Lorenzo Ferri and Roberta Pappolla at the University of Pisa.
emailic/White_Space_Coding_Challenge
Here you may find my solutions to the two problems adapted from the coding challenge by the White Space Solutions. The solutions feature MST algorithm for graphs and constraint programming using the cp_sat solver.
emailic/emailic
emailic/Hadoop-ApacheSpark-Clustering-Classification-Dimensionality-Reduction
This is the project done in collaboration with my colleagues Roberta Pappolla and Lorenzo Ferri. The scope of the project was a simulation of a machine learning/data science project on a big dataset. Thus, a cluster computing framework was used: Hadoop/Apache Spark.
emailic/Object-Detection-Classification-CNN-COCO
Project done at the Politechnic University of Madrid together with my colleagues Anamarija Eres and Dominik Kos.
emailic/Graph-Social-Network-Analysis
A short explorative analysis of the NetworkX library in Python on MovieGalaxies dataset.
emailic/keras
Would like to change the fit function so that it deletes broken files instead of raising an UnidentifiedImageError
emailic/LabelMeYoloConverter
Convert LabelMe Annotation Tool JSON format to YOLO text file format