Mon.Feb 07, 2022

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Using Dataiku to Prove NFL Teams Should Take More Touchbacks

Dataiku

The kickoff is one of the most overlooked plays in football because of how uneventful they usually tend to be, but just ask any Packers fan whether or not special teams should be taken more seriously. This blog post is entirely dedicated to kickoffs because I’ll aim to prove that teams make the wrong decision about them hundreds of times each and every season.

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Myth Busters in SQL – Structured Query Language

Analytics Vidhya

In this article, we are going to bust some of the common myths we usually have while working on SQL – Structured Query Language. We will be using the MS SQL Server Database Server to write our queries. 1. HAVING Clause cannot be used without GROUP BY Clause! You must be wondering whether the HAVING […]. The post Myth Busters in SQL – Structured Query Language appeared first on Analytics Vidhya.

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Build a Web Scraper with Python in 5 Minutes

KDnuggets

In this article, I will show you how to create a web scraper from scratch in Python.

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Understanding Subqueries in SQL

Analytics Vidhya

Overview Be familiar with the SELECT Statement Have a basic understanding of WHERE HAVING and FROM clauses Introduction In this article, we will deal with Subqueries in SQL. Like any structure has a subpart or a subset similarly our Query in SQL or the SELECT query in SQL also has a concept of Subquery associated […]. The post Understanding Subqueries in SQL appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Deploying a Streamlit WebApp to Heroku using DAGsHub

KDnuggets

Transform your machine learning models into a web app and share them with your friends and colleagues.

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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. It truly is the bee's knees. You are likely aware that there are entire sub-cultures (and their attendant Substacks) dedicated to the most granular ideas around experimentation (usually of the landing page optimization variety).

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The case for vertical integration in analytics platforms

BI-Survey

The effective use of data and analytics is a challenge for most companies today. Too seldom do companies generate relevant insights as quickly as they desire and need to. Analytics content must be created in an iterative manner and it must not be impeded by the restrictions caused by data silos. The fast creation of reliable results and sharing them in a secure manner requires seamlessly integrated software that supports the complete analytics cycle from data ingestion to presentation.