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Internet of Things (IoT) and its impact on data science!
Internet of things (IoT) refers to a network of interconnected devices. Learn about internet of things (IoT), how IoT works and its impact on data science.
Kunal Jain 19 Jul, 2020
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Comprehensive guide for Data Exploration in SAS (using Data step and Proc SQL)
Data exploration in SAS is performed using the DATA step and PROC SQL. A complete guide to data exploration and data munging methods for preparation in SAS.
Sunil Ray 19 Jul, 2020
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Text Mining hack: Subject Extraction made easy using Google API
Subject extraction in text mining is tougher than sentiment analysis. Google API can help us build generalized subject dictionary to perform this mining.
Tavish Srivastava 19 Jul, 2020
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Basics of SQL and RDBMS – must have skills for data science professionals
SQL is a standard programming language used to retrieve, merge, extract data from RDBMS. This article SQL basics, SQL commands, uses of sql, CAP Theorem
Analytics Vidhya 19 Jul, 2020
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Big Data / Analytics based startups at Y Combinator, Winter 2015 batch
Y combinator winter 2015 batch startup ideas based on big data and analytics. A list of big data and analytics startups in Y Combinator Winter 2015 batch.
Kunal Jain 19 Jul, 2020
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Importance of actionable insights in analytics (with case from ICC Cricket World Cup)
Creating actionable insights is critical for a good analysis. This article illustrate the use of actionable insights through a analytics case study in cricket.
Kunal Jain 13 Apr, 2015
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Hacking Google Maps to create distance features in your model / applications
Google Maps can be used to design and create distance features. This article provides a step by step guide and case study to use Google Maps in models/apps.
Tavish Srivastava 19 Jul, 2020
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How to re-use data models in Qlikview using Binary Load?
This article explains the use of binary load to reuse a data model in other Qlikview documents. Steps to implement binary load to a new QlikView document.
Sunil Ray 26 Jul, 2020
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Why most data science trainings fail to deliver? How to overcome these failures?
Most data science / analytics trainings fail to train you for analytics career. We look at why they fail & how to guard against them or overcome these failures.
Kunal Jain 13 Apr, 2015
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Building additional features & variables through open data sources
This article discusses use of Google+, Google APIs, YouTube, Social Media in collecting customer preferences to build additional variables & features.
Tavish Srivastava 05 Nov, 2024
