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...
Home » You searched for
Search Results for:
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...
Requirements Elicitation for Enterprise Business Analytics
When many organizations invest in new Business Intelligence (BI) tools and systems, much of the focus is put into the technical requirements of connecting the tool to the...
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...
Scraping 101
Finding the quality of a tennis player by calibrating and analyzing the aces notched up by tennis players or predicting the next Pele or Cristiano Ronaldo after training ...
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 –...