Detecting In-App Purchase Fraud with Machine Learning
This article contains phrases taken from the machine learning and analysis world. Data scientists and algorithm engineers will feel more comfortable with reading it altho...
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8 Essential Tools for Data Scientists
There is growing demand of data scientists in every organization. For growth of any business enterprise there is need to evaluate data in order to streamline the strategi...
A Database of 800 Analytics Companies
In a prior post I outlined some thoughts on the outlook for the data analytics sector and referenced a database I prepared of analytics companies. At the time the list ...
Linear Regression in Astronomy: Cartoon
This image comes from Xkcd, a webcomic of romance, sarcasm, math, and language. Created by Randall Munroe, he is a CNU graduate with a degree in physics. Before start...
Making data science accessible – HDFS
Originally posted on Analytic Bridge By Dan Kellett, Director of Data Science, Capital One UK Disclaimer: This is my attempt to explain some of the ‘Big Data’ co...
Improving Predictions with Ensemble Model
INTRODUCTION “Alone we can do so little and together we can do much” – a phrase from Helen Keller during 50’s is a reflection of achievements and successf...
Feature Engineering: Data scientist's Secret Sauce !
originally posted by the author on Linkedin : Link It is very tempting for data science practitioners to opt for the best known algorithms for a given problem.However...
Debunking the 68 Most Common Myths About Big Data – Part 2
Summary: Continuing from out last article, we searched the web to find all of the most common myths and misconceptions about Big Data. There were a lot more than we t...
How to Treat Missing Values in Your Data
One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values. How do you deal with missing values –...
7 Cases Where Big Data Isn’t Better
Summary: It’s become almost part of our culture to believe that more data, particularly Big Data quantities of data will result in better models and therefore better ...