The impact of cancer is widespread, we all know someone (relative, friend, co-worker etc.) that is affected by cancer. Two (2) out of every five (5) will be struck by cancer in their lifetime. With a focus on breast cancer, this blog post shows how predictive analytics (deep learning) continues to make significant strides in accurately predicting cancer. This has all the benefits including early detection of cancer & more accurate, consistent diagnosis.

What are you waiting for? Begin to optimize your marketing strategy by leveraging the FREE social media data!! You can begin by mapping your followers/subscribers and quantitatively estimate your sphere of influence or extent of your product brand. Your business didn't set up a Twitter account for nothing, USE IT to your benefit!!!

In this blog post I am showing how to perform data extraction from the web (twitter), mine it and perform sentiment analysis. Text mining & sentiment analysis are great tools to have in a data scientist toolbox. The demo follows the J. Breen approach and uses the Hu Liu lexicon for word dictionary to provide polarity.

The CFPB was incepted in 2008 to protect consumers within the financial industry and ensure that financial companies play by the consumer rules and compete fairly. Data regarding consumer complaints is collected and maintained by the agency. This analysis uses this data to demonstrate and share knowledge on how to wrangle & transform real-life data into a time series and perform forecasting.

What factors had more significance determining passenger survival on the night of April 14, 1912 through the morning of April 15? Did being first class count, or being a child or elderly, female or male have any significance determining who got on the few lifeboats available on the 'unsinkable' ship? This blog post is intended to explore a few classifiers to predict survival using the titanic data set from Kaggle.

This post is a quick intro to descriptive data analytics. It is also intended for experienced data scientists to recap on the fundamentals of analytics. It uses ggplot2, dplyr and tidyr to achieve intended objectives.