giuseppecangemi
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Quantitative analysis, strategies and backtests
A Python library to perform NER on structured data and generate PII with Faker
A simple, easy, and flexible way of estimating Bayesian VARs taking into consideration the pandemic period, as a Minnesota prior with time dummies.
Replication files of the DFM now-casting of the euro area GDP (www.euroareanowcast.com)
Built quantitative models to measure value at risk (VaR) and Expected Shortfall (ES).
Understanding Deep Learning - Simon J.D. Prince
Natural Language Processing classification project with machine learning models developed to classify consumer complaints.
Text classification with Multinomial Naive Bayes and TF-IDF
End To End Tutorial on Time Series Analysis and Forcasting
A use-case focused tutorial for time series forecasting with python
Learn ML engineering for free in 4 months!
A smart system with a goal of predicting whether a company will go bankrupt in a certain number of years by leveraging the financial historical data of the Polish companies' bankruptcy dataset.
This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to pra…
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Inizialmente repo dei notebook per il corso base di Data Science tenuto da Goodwill. Adesso contenitore di attività didattica (e studio) "varia".
Financial Analysis in Python
Scrapes post data from company pages
nannyml: post-deployment data science in python
R Package for data driven SVAR identification of impulse response functions
Helper functions for `vars` and `lpirfs` packages
Repository ufficiale di Covstat.it