Luca Zavarella's repositories
binclass-tools
The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.
SqlServerPartitionManagementUtility
The Easiest Way to Manage Partitions in SQL Server
power-bi-time-series-custom-visual
Power BI Time-Series Interactive Custom Visual
azureml-scripts
Useful PowerShell scripts to manage your Azure Machine Learning stuff in a simply way
sql-bulk-export
This PowerShell module contains two functions that are useful for exporting large amounts of data from tables, views, or queries on an (Azure) SQL Server database into CSV files compliant with the RFC 4180 standard
Azure-Machine-Learning-MLOps-Workshop
A workshop for doing MLOps on Azure Machine Learning
ppscore-in-r
Examples about how to use Python PPScore functions in R
r-for-datascience
R code used during the "R for Data Science" workshop
speaker-evaluation-statistics
The fully customizable #R solution every technical event planner needed to easily deliver a great report about speaker evaluations
ts-clustering-helpers-in-r
The repository contains few functions in R that simplify the time-series clustering using the package dtwclust
Azure-Machine-Learning-Workshop
Azure Machine Learning Workshop
Azure-TDSP-Utilities
Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science
events-as-speaker
Collection of slides and code for each event I deliver in public sessions
github-slideshow
A robot powered training repository :robot:
HousingPriceKaggleProject3
Housing Price Prediction Kaggle Challenge
MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Medium-Articles
Code for medium articles
sessions-as-a-speaker
A collection of material that I shared during my sessions as a technical presenter.
speaker-evaluation-statistics-demo
Demo of the Speaker Evaluation Statistics Report
statistics-with-r
Projects assigned in the "Statistics with R" course by Coursera