Business Analytics

/Business Analytics

Data Science-Data Mining-Clustering

By | September 24th, 2016|Business Analytics|

DATA SCIENCE-Data Mining-Recommendation System

By | September 16th, 2016|Business Analytics|

Recommendation System It is Also known as “Collaborative Filtering” If Person A has the same opinion as Person B on an issue, A is more likely to have B’s opinion on a different issue ‘x’, when compared to the opinion of a person chosen randomly Collaborative Filtering are of two types: 1. Traditional Collaborative Filtering [...]

DATA SCIENCE-Data Mining -Unsupervised Learning

By | September 13th, 2016|Business Analytics|

Data Mining Is also known as “Machine Learning” Data Mining is divided into two subcategories 1. Unsupervised Learning 2. Supervised Learning Unsupervised Technique: If Output(Y) is not Known, then we will go for Unsupervised Technique. A Few of Unsupervised Data Mining Techniques are: • Association Rules • Recommendation system • Clustering • Dimension Reduction Techniques [...]


By | August 16th, 2016|Business Analytics|


By | August 4th, 2016|Business Analytics|

Data Science Get Started with Exploratory Data Analysis (EDA) using Python & R 1.Understand the defined Business Objective 2.Research & explore on the Domain knowledge or consult Subject matter expert (SME) 3.Collect the metadata of the given data with the help of SME or explore various research avenues 4.Collect the data for the variables which [...]

Sample Statistics and Population Parameter in Data Science

By | July 22nd, 2016|Business Analytics|

when we work on Population with Mean,Variance,Proportion,Standard Deviation are known as Population Parameter when we work on sample with Mean,Variance,Proportion,Standard Deviation are known as Sample Statistic

Skewness and Kurtosis in Data Science

By | July 20th, 2016|Business Analytics|

Skewness measures asymmetry in the distribution • Skewness is also called as THIRD MOMENT BUSINESS DECISION Kurtosis measures peakedness of the distribution • Kurtosis is also called as FOURTH MOMENT BUSINESS DECISION

Creating Dummy Variables Using R

By | July 19th, 2016|Business Analytics|

Create dummy variables for a catagorical data using "R" to Normalize it with 1/0: data("iris") example <-"setosa","versicolor","virginica")) names(example) <- "Species" #For every unique value in the string column, create a new 1/0 column #This is what Factors do "under-the-hood" automatically when passed to function requiring numeric data for(level in unique(example$Species)){ example[paste("dummy", level, sep = [...]

Errors in R

By | July 15th, 2016|Business Analytics|

Most Common and Uncommon Errors in R: 1. Could not find function "xyz" when xyz isn't a function. Check for typos, in particular () instead of [], eg, you put xyz(1,2) instead of xyz[1,2] 2. Could not find function "xyz" when xyz is a function. I. Check for typos. ii. Is it a function you [...]

Variance,Standard Deviation,Range in Data Science

By | July 15th, 2016|Business Analytics|

Vaiance,Standard Deviation,Range are known as Measures of Dispersion Measures of Dispersion is also called as SECOND MOMENT BUSINESS DECISION