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Certificates

Courses
Machine Learning
62-hours course

Stanford University (certificate-link)

Regression Models
54-hours course

Johns Hopkins University (certificate-link)

Statistical Inference
54-hours course

Johns Hopkins University (certificate-link)

Getting and Cleaning Data
20-hours course

Johns Hopkins University (certificate-link)

R Programming
57-hours course

Johns Hopkins University (certificate-link)

Reproducible Research
8-hours course

Johns Hopkins University (certificate-link)

Introduction to Data Science in Python
31-hours course

University of Michigan (certificate-link)

Applied Plotting, Charting & Data Representation in Python
20-hours course

University of Michigan (certificate-link)

Applied Machine Learning in Python
34-hours course

University of Michigan (certificate-link)

Applied Text Mining in Python
29-hours course

University of Michigan (certificate-link)

Applied Social Network Analysis in Python
29-hours course

University of Michigan (certificate-link)

Introduction to Big Data
17-hours course

UC San Diego (certificate-link)

Big Data Modeling and Management Systems
13-hours course

UC San Diego (certificate-link)

Big Data Integration and Processing
18-hours course

UC San Diego (certificate-link)

Machine Learning With Big Data
22-hours course

UC San Diego (certificate-link)

Graph Analytics for Big Data
13-hours course

UC San Diego (certificate-link)

Big Data Capstone Project
21-hours course

UC San Diego (certificate-link)

Introduction to Deep Learning
34-hours course

UC San Diego (certificate-link)

Python Basics
36-hours course

University of Michigan (certificate-link)

Python Functions Files and Dictionaries
31-hours course

University of Michigan (certificate-link)

Data Collection and Processing With Python
16-hours course

University of Michigan (certificate-link)

Python Classes and Inheritance
17-hours course

University of Michigan (certificate-link)

Python Project pillow Tesseract and OpenCV
20-hours course

University of Michigan (certificate-link)

Specializations
Applied Data Science in Python
143-hours specialization

University of Michigan (certificate-link)

Big Data Specialization
104-hours specialization

UC San Diego (certificate-link)

Python3 Programming Specialization
120-hours specialization

University of Michigan (certificate-link)

Publications
CNN-Based Multivariate Data Analysis for Bitcoin Trend Prediction
Stefano Cavalli and Michele Amoretti, Senior Member, IEEE

Applied Soft Computing (link)

A Machine Learning Approach for NDVI Forecasting based on Sentinel-2 Data
Stefano Cavalli, Gabriele Penzotti, Michele Amoretti and Stefano Caselli

International Conference on Software Technologies (link)

Actor-based architecture for Cloud Services Orchestration: the case of social media data extraction
Stefano Cavalli, Stefano Cagnoni, Gianfranco Lombardo and Agostino Poggi

Workshop "From Objects to Agents" (link)

Ph.D School
4th International School on Deep Learning
38-hours of lectures

Las Palmas de Gran Canaria, Spain (certificate link)

LinkedIn Assesments (view LinkedIn Profile)