Top Words in COVID & Corona Domain Names – Text Basics
Top Words in COVID & Corona Domain Names A few basics on determining the most popular terms in a dataframe...
Recent predictive analytics work including statistical analysis, regression models and various programming languages
What is Predictive Analytics? Why should you care? Business Intelligence helps high-performing businesses strategically apply analytics throughout their organizations to create a competitive advantage.
Readings and links on Predictive Analytics
About the Author
Where smart businesses utilize analytics to enhance, improve or gain an advantage over their competitors. Predictive analytics uses patterns to determine relationships and behaviors found in historical (structured and unstructured) data to make predictions about unknown future events.
Techniques including data mining, statistics, modeling, machine learning and artificial intelligence.
Predictive analytics provides organizations with the ability to anticipate outcomes, create new strategies based on data and not preconceived notions or assumptions for the purpose of generating insights to drive decisions, actions, strategy and revenues.
Recent examples of Predictive Analytical work
Top Words in COVID & Corona Domain Names A few basics on determining the most popular terms in a dataframe...
Combine CSV files in RStudio in 5 Easy Steps Unfortunately, with the latest update to RStudio, RWordPress has not yet...
Predicting Dengue – DataDriven Competition Goal: Predict Dengue outbreaks by the total number of cases by year and week for...
Histogram in R After a lot of finessing, code in R for a really great Histogram #load libraries library(ggplot2)...
Simple Visual Word Network Allows users to interact with words, and related associations, visually. Network of names based on: a. ...
Coding in R A few snipits of code that are always useful: Finding which column has NA values: unlist(lapply(dataframe ,...
Machine Learning: Charity Donor Analysis Introduction A charitable organization wishes to develop a machine learning model to improve the cost...
Internet of Things (IoT) Text Analytics in R A small corpus of ten articles related to the Internet of Things...
Factor Analysis Introduction Utilizing a stock portfolio data set and a factor analysis to identify sectors in the stock market,...
Principal Components Analysis Utilizing a stock portfolio data set and the Principal Components Analysis as a method in reducing dimension...
