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Balint Hudecz

As seen in: The Startup, Towards Data Science
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Articles by Balint Hudecz

The Equivalent of SQL Left Join in Python and Its Use in Data Cleaning

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By Balint Hudecz
| Towards Data Science
Tips to identify unreferenced values across your tables with Python If you have worked with relational databases, you must know SQL joins — they have many use cases, but in this post, I am going to focus on data cleaning. When performing left, right, or full outer joins, you create tables where either all records are present or just records from certain tables. For a row with no match, a null value is placed. Joins are thus extremely useful for identifying missing or not referenced values.
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Clustering Population in London to Find a Suitable Location for Ethnic Restaurant

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By Balint Hudecz
| The Startup Verified
As a digital communication professional, data science is not new to me, but I have never systematically learned it, just picked up the necessary skills on the job. So one of my COVID-19 lockdown commitments was to look into data science and machine learning in a bit more structured way. Google must have guessed my intention as I got a few targeted ads — which led me to IBM’s Data Science Program on Coursera. This post is not a review, it’s about my capstone project.
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How to Build Audience Clusters With Website Data Using BigQuery ML

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By Diego Salinas, Ed Adityawarman, Aniruddha Karajgi, Balint Hudecz
| Towards Data Science
A technical guide to gather audience insights and build customer segmentation A common marketing analytics challenge is to understand consumer behavior and develop customer attributes or archetypes. As organizations get better at tackling this problem, they can activate marketing strategies to incorporate additional customer knowledge into their campaigns. Building customer profiles is now easier than ever with BigQuery ML, using a technique called clustering.
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