Attended: Seyyed, Travis, Jeremy

• K-Nearest Neighbors
  • Implement KNN in KNN using a dataset from the Irivine's Machine Learning repository
  • Discuss how changing the number of neighbors affect the results
  • Compare the KNN algorithm to the Linear Regression algorithm
• Cross Validation
  • Learned about Cross Validation
  • Used K-Fold and Fold to compare the algorithms and different values of neighbors

• none

• Continue to research on iPython and optimizing the code
• Work with WeatherBox Data

Contributing authors:

Created by travisnt on 2015/11/07 01:51.