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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.
Creating actionable insights is critical for a good analysis. This article illustrate the use of actionable insights through a analytics case study in cricket.
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.
This article discusses use of Google+, Google APIs, YouTube, Social Media in collecting customer preferences to build additional variables & features.
This article provides a framework & step by step guide to build an ARIMA model. These include visualization, differencing, transformation & prediction.
How to use container and conditional formatting to improve information density in your QlikView dashboards. Step by step guide to improve dashboard!
This article explains ARMA time series model. ACF & PACF models are also discussed along with difference between AR & MA time series models.
Finding & treating outliers in your dataset can improve your models & predictions. We explain outlier detection methods & how to treat outliers in a dataset.
Exploring time series data is critical before building a time series model. This article provides steps to explore a time series data in R.
Weka provides a GUI to learn machine learning software. Discover the path to learning weka for machine learning and also learn business analytics using gui.
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