Andrea Grianti – Medium

Andrea Grianti

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Euclidean Distance Matrix

Step by step explanation to code a “one liner” EDM with basic algebra operations

May 9, 2020

Euclidean Distance Matrix

May 9, 2020

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Published in
Towards Data Science

Cosine Similarity Matrix using broadcasting in Python

Learn how to code a (almost) one liner python function to calculate cosine similarity or correlation matrix used in data science.

Dec 7, 2020

Cosine Similarity Matrix using broadcasting in Python

Dec 7, 2020

Biking uphill by halving the effort

(Basic trigonometry concepts applied to biking uphill)

May 2

Biking uphill by halving the effort

May 2

Switching Workbooks in Excel for Mac

This article explains how to use shortcuts to switch between different open workbooks using Excel for Mac

Mar 8, 2023

Switching Workbooks in Excel for Mac

Mar 8, 2023

The Hungarian Algorithm: The quest for the best lineup for football teams

With football players skill data, the usage of the hungarian algorithm (also called the Munkres algorithm), combinatorics and a bit of…

May 12, 2022

The Hungarian Algorithm: The quest for the best lineup for football teams

May 12, 2022

Published in
Trading Data Analysis

Linear Regression with TA-Lib

Understanding how the Linear Regression functions in TA-Lib Python Libr

Sep 21, 2021

Linear Regression with TA-Lib

Sep 21, 2021

Published in
The Startup

Interpreting Principal Components: Football Players Use Case

Workflow to interpret results of PCA using a correlation matrix of football player attributes from a popular videogame

Nov 25, 2020

Interpreting Principal Components: Football Players Use Case

Nov 25, 2020

Published in
Towards Data Science

Principal Component Analysis

Step by step intuition, mathematical principles and python code snippets behind one of the most important algorithms in unsupervised…

Oct 8, 2020

Principal Component Analysis

Oct 8, 2020

Linear Algebra and Vectors

Some demonstrations, especially in the early definitions of vector operations, look simple but they hide traps that might be good to…

Sep 2, 2020

Linear Algebra and Vectors

Sep 2, 2020

Kmeans parameters in RStudio explained

This is and articlae about understanding the input parameters and the output results of running the K Means algorithm in R Studio.

Feb 8, 2020

Kmeans parameters in RStudio explained

Feb 8, 2020

Andrea Grianti

Andrea Grianti

IT Senior Manager and Consultant. Data Warehouse and Business Intelligence expertise in design and build. Freelance.

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