"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

May 01, 2016

Day #18 - Linear Regression , K Nearest Neighbours

Linear Regression
  • Fitting straight line to set of data points
  • Create line to predict new values based on previous observations
  • Uses OLS (Ordinary Least Squares). Minimize squared error between each point and line
  • Maximum likelihood estimation
  • R squared - Fraction of total variation in Y
  • 0 - R Squared - Terrible
  • 1 - R Squared is good
  • High R Squared good fit

  • Supervised Machine Learning Technique
  • New Data point classify based on distance between existing points
  • Choice of K - Small enough to pick neighbours
  • Determine value of K based on trial tests
  • K nearest neighbours on scatter plot and identify neighbours

Related Read
Recommendation Algo Analysis
Linear Regression

Happy Learning!!!

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