50 Successful Blockchains Applications
This article was written by Matteo Gianpietro Zago. When talking about blockchains, we commonly think of its applications in the future. “Blockchain will solve this, ...
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Speed up your R Work
This article was written by John Mount. Introduction In this note we will show how to speed up work in R by partitioning data and process-level parallelization. We w...
Diabetes Prediction with Ensemble Techniques
Till your good is better and better is best! ENSEMBLE Yes, the above quote is so true. We humans have ability to rate things and find some or the other matrices to measur...
Co-integration and Structural Breaks Time Series Analysis using R on 100 year bond yields
Co-Integration in Time Series Analysis is when one data points is depended on other data points or follow the pattern. Example in capital markets Industry or sector leade...
Basics of Hive and Impala for Beginners
Data Science is the field of study in which large volumes of data are mined, analysed to build predictive models, and help the business in the process. The data used over...
Next Phase of AI – Chatbots for Medical Learning
AI has changed our lives for a better tomorrow. It is being tested and applied almost in every possible field. There is a consensus that automation guarantees better resu...
How Apache Spark can Boost Your Value?
Introduction Technological progress and the development of infrastructure has increased the popularity of Big Data immensely. Businesses have started to realize that d...
San Francisco – A City Full of Psychopaths?
Exploring San Francisco police incident data and visualizing the density distribution of incidents involving mentally ill individuals using Pivot Billions and Tableau. Wi...
The Ultimate R Cheat Sheet – Major Upgrade
The Ultimate R Cheat Sheet simply put makes it easy to learn R. The Ultimate R Cheat Sheet saves you time by providing hyperlinks to the documentation and package-level...
R-Squared in One Picture
R-squared measures how well your data fits a regression line. More specifically, it’s how much variation in the response variable your linear model explains. it i...