Blog District Data Labs. District Insights is a data science and analytics blog that focuses on real-world applications of data science, analytics, machine...
Blog District Data Labs. District Insights is a data science and analytics blog that focuses on real-world applications of data science, analytics, machine...
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In last week’s blog post I asked How much data science do you actually remember? It’s a critical question. If you study data science, but forget everything that you learn, you’ll be in big trouble when you go in for an interview. Or, you’ll be in big...
Editor’s note: Chloe (as well as other members of SVDS) will be speaking at TDWI Accelerate in Boston. Find more information, and sign up to receive our slides here. From the outside, data science is often thought to consist wholly of advanced statistical...
Ever wondered why data science is so competitive? After a highly successful H2O World event last week, we’re shining some light on what we’ve learned from some of the world’s best data scientists and how they go about winning these data science challenges...
Create succinct and expressive implementations with functional programming in Python Implement common functional programming design patterns and techniques in Python Learn how to choose between imperative and functional approaches based on expressiveness...
February's batch of Scripts of the Week highlights some of the month's best content produced by Kagglers on our public datasets. It also includes a great getting started script predicting outcomes of the 2016 NCAA basketball tournaments for March Machine...
SOCRATES is an international, refereed (peer-reviewed) and indexed scholarly hybrid open-access journal in Public Administration a...
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District Insights: Practical Applications of Data Science & Analytics | District Data Labs
District Insights is a data science and analytics blog that focuses on real-world applications of data science, analytics, machine learning, and AI.
The blog of District Data Labs
District Data Labs with Python and Dedupe Entity resolution (ER) is the task of disambiguating records that correspond to real world entities across and within datasets. The applications of entity res...
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