DataScience

Showing 1-4 of 4 results
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Graph Data Science With Python/NetworkX

by Federico Albanese

Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze "graph theory" datasets.

9 minute readContinue Reading
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Stars Realigned: Improving the IMDb Rating System

by Juan Manuel Ortiz de Zarate

IMDb ratings have genre bias: For example, dramas tend to score higher. Removing common feature bias and keeping unique characteristics, it's possible to create a new, refined score based on IMDb information.

10 minute readContinue Reading
EngineeringIcon ChevronData Science and Databases

A Data Engineer's Guide To Non-Traditional Data Storages

by Ken Hu

With the rise of big data and data science, storage and retrieval have become a critical pipeline component for data use and analysis. Recently, new data storage technologies have emerged. But the question is: Which one should you choose? Which one is best suited for data engineering? In this article, Toptal Data Scientist Ken Hu compares three prominent storage technologies within the context of data engineering.

7 minute readContinue Reading
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Data Mining for Predictive Social Network Analysis

by Elder Santos

Analysts have come to recognize social network data as a virtual treasure trove of information for sensing public opinion trends and groundswells of support. In this article, Toptal Engineer Elder Santos describes the techniques he employed for a proof-of-concept that effectively analyzed Twitter Trend Topics to predict, as a sample test case, regional voting patterns in the 2014 Brazilian presidential election.

7 minute readContinue Reading

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