anchor.diff:  [NOTE]
   .*Thinking like a Data Scientist*
   =====================================
  -We need to use the provided attributes (variables) to train a predictive model, but how does that work? 
  +We need to use the provided attributes (variables) to train a predictive model, but how does that work? Some variables are correlated with each other. When those variables vary, the other variables will also vary to some degree. We need to:
   
  -- Some variables are correlated with each other. When those variables vary, the other variables will also vary to some degree
  -- We need to maximize the number of explanatory variables: those that are correlated with the outcome variable and 
  +- maximize the number of explanatory variables: those that are correlated with the outcome variable, and 
   - minimize the correlation of explanatory variables to each other (link:https://en.wikipedia.org/wiki/Multicollinearity[multicollinearity]).
   
   In other words, we need to find the fewest quantity of variables that can explain everything that is going on with the outcome that we want to predict.
  
positive.code: 
  == Kaggle Basics
  
  Kaggle is a community of data scientists and a platform for facilitating data science journeys. To participate, you may enter data science competitions. Kaggle provides two datasets for the Titanic competition containing passenger attributes:
  
  * a training set, complete with the outcome (target) variable for training our predictive model.
  * a test set, for predicting the unknown outcome variable based on the passenger attributes provided in both datasets.
  
negative.code: 
  == Titanic History Lesson
  
  The Titanic was a British passenger liner that sank after colliding with an iceberg in the Atlantic on its maiden voyage enroute to New York City. It was the largest ship of its time with 10 decks, 8 of which were for passengers. 
  
  There were 2,224 passengers and crew aboard. Of the 1,317 passengers, there were: 324 in First Class (including some of the wealthiest people of the time), 284 in Second Class, and 709 in Third Class. Of these, 869 (66%) were male and 447 (34%) female. There were 107 children aboard, the largest number of which were in Third Class.
  
  The ship had enough lifeboats for about 1,100 passengers, and more than 1,500 died. Due to the "women and children first" protocol, men were disproportionately left aboard. Also, not all lifeboats were completely filled during the evacuation. The 705 surviving passengers were rescued by the RMS Carpathia around 2 hours after the catastrophe.
  
  
  
  