I spent way too much time on doing this

A short analysis on whether NFL teams should expect to win more games using a traditional bell cow back.

In this document we will be using a Support Vector Machine to classify flowers within the classic Iris dataset. The Iris dataset is contained within the ggplot2 package and is a common starting point for dealing with classification problems.

In this document we perform an Exploratory Data Analysis of the Adverse Food dataset available from kaggle.com. This dataset is taken from the CFSAN Adverse Event Reporting System (CAERS) database collected by the US Food and Drug Administration. This dataset represents reports taken from 2004 until mid 2017.

In this document, I apply the principles set forth by the NIST to verify good passwords.

A quick EDA of the handwashing dataset found on datacamp where we explore the results of Dr Sammelweis implementing handwashing in two health clinics

Example of weekly veridata report using randomized values

Quick EDA of which languages are recommended by data science professionals broken down by which languages they themselves prefer

In this notebook I explore the Credit Card Fraud Detection dataset from kaggle then use both logistic regression and an Artificial Neural Network to predict which occurrences should be fraudulent activity. Then the results between the models are compared.

Short demo for creating control charts using qicharts